livestock apps

Livestock Apps – 15 Best Livestock Management Apps/Software in 2020

Livestock Apps - 15 Best Livestock Management Apps/Software

Muhammad Imran


November 30th, 2020

By keeping up with the best animal practices, livestock management apps enable farmers to ensure the highest quality standards and improved productivity.

livestock apps

The livestock management software has quickly become an important component that enables livestock farmers to keep up with farm animals’ health and well-being. The app help farmers to record and access all the important details they need to know from the time of birth to the time they are sold. The type of records managed by livestock apps may vary from one app to another. Some of the more important records maintained by all livestock management software include the date of birth, medical records, and others. Apart from tracking the records for health performance and costs, livestock management apps also enable farmers to better manage livestock at farms by tracking them remotely across the farms.

 Modern livestock apps are able to record all the procedures carried out in the farms on daily basis. These apps offer the most effective way to incorporate feed formulation, feed production, accounting, production, feed selection, and various other records, against specific components like land conditions, feed recipes, climatic conditions, and others. All of this information can then be access easily through interactive reports and charts, for improving the overall efficiency and productivity of farms. Livestock management software also brings in advanced analytical tools to help farmers identify and follow profitable practices.

By keeping up with the best animal practices, livestock management apps enable farmers to ensure the highest quality standards and improved productivity. Over the years, livestock software has proven to be an effective method to improve the efficiency and productivity of the farming business. It’s the perfect choice for livestock farms looking to design and implement effective procedures for higher revenue.

Below are some of the benefits of integrating livestock management software for farm businesses:

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1) Easy Farm Management

Livestock farming can be challenging, especially for startups and small farms with little experience. The challenge becomes even steeper for farms looking to manage multiple livestock. With the livestock management software, such farm businesses get access to an automated management platform. These platforms not only help them to automate various daily processes but also enable farmers to get access to updated information and best practices for farm management.

2) Improved Pasture Management

Apart from assisting farmers with the best practices in livestock farm management, these livestock apps also help farmers in moving herds from one pasture to another. Many of the latest livestock management apps come with intelligent features, which can be integrated with drone technology. Such technology not only helps farmers to keep close track of herd across vast pasture areas but also enable them to monitor and manage pasture area in a more coordinated manner.

3) Events Tracking

Event tracking is perhaps the most basic and widely used function of livestock management software. The functionality enables farmers to keep entire animal records against all events like medical treatment, animal sale, birth, death, breeding, and other events. In other words, farmers are able to record each and every event of the herd; right from birth to sale or death in an efficient and structured manner. This doesn’t only make it easier and more effective for farmers to manage livestock, but also help them to comply with livestock management regulations.

4) Improved Feed Management

With robust livestock management software, farmers are in a better position to identify and implement a structured feeding plan for animals. These apps enable farmers to track the feeding habits of an individual animal in the herd and adapt accordingly. The software also enables farmers to figure out the feed conversion ratio, which gives them an ideal to identify the expense of feed and subsequent ROI.

Folio3 is your Custom Livestock Management Software/Apps Partner

Folio3 is one of the leading companies working in the livestock management field. The company brings its strong experience in data analytics and business intelligence technology to develop intelligent and comprehensive livestock management apps. By utilizing its strong portfolio in artificial intelligence, machine learning, computer vision, and other powerful analytical technology, Folio3 has developed one of the most advanced livestock management apps that can be integrated with programmable drones.

CattlePal is one of the livestock management app developed specifically to automate livestock management for farmers. The software can be integrated with powerful programmable drones, equipped with thermal sensors. The app enables real-time monitoring of animal’s data using cloud servers, assisting farmers to keep up with the animal’s health and other important indicators.

The powerful software solution by Folio3 comes with advanced image processing techniques including image segmentation, and automated analysis. The AI drones solution by Folio3 is also being used widely across different industries including terrain mapping, solar panel inspection, and others. By working closely with the farmers, Folio3 ensures the development of customized functionalities required by farmers of all sizes and business models.

5 Top Livestock Software/Apps for SMEs and Enterprise


1) Ranch Manager

Ranch Manager is a crowd-funded livestock management software that comes with a voluntary licensing model. It’s an advanced platform that is designed to automate the various tasks associated with the modern-day livestock business. The software lets ranchers keep detailed records of the livestock including the breeding, pedigree, locations, treatment, and sales record. The platform also comes with in-built accounting capabilities for assisting farmers in managing day to day business transactions and estimate profit and loss.


- Detailed record storing in a structured manner

- Accounting capabilities

- Multiple ID tags

- Feed Management

- Easy data entry


2) Chetu

Chetu is an enterprise-level livestock management platform that’s known for the development of customized solutions for farmers. The platform lets farmers centralize livestock management operations and comes with powerful features including breeding tracking, ranch management, and even basic accounting features. Apart from livestock management, the platform also brings in powerful database management solutions for farmers, assisting them to enter, edit, and view detailed records of individual animals through the web or mobile devices.


- Custom dashboards

- Decision support system

- Grazing management

- Weather tracking system


3) Cattle Max

Cattle Max is an enterprise-level livestock management software that is widely used for the management of large farms. The platform brings in some powerful features to track performance, production, and marketing records of livestock. Cattle Max is currently being used in over 8,000 farms across the United States and other countries. Some of the features offered by the platform include; cattle notes, multi-record updated, electronic ID features, custom reports, and much more.


- Calving history

- Management snapshots

- Breeding status

- EPD and EBV status


4) MiHub

MiHub enables farmers to transform data into insightful information to track the herd’s performance and achieve higher efficiency for farm businesses. The livestock management app brings in powerful analytical solutions that let farmers access insights into the herd performance through interactive charts and reports. The reports can be accessed by users remotely through mobile devices.


- Interactive reports and charts

- Intuitive interface

- Easy data entry and management


5) Muuu

Muuu is yet another powerful livestock management app that lets farmers manage and market their livestock businesses with ease. The app lets farmers partner-up with other farms to share management activities and best practices. The data can be accessed remotely and in real-time using any device, thereby greatly improve the access to information for higher efficiency and more profits.


- Digital agriculture marketing

- Fieldwork planner

- Cattle traceability

- Record-keeping and traceability of animals

5 Best Livestock Management Software Apps for Startups


1) Angus Black Book by Folio3

Angus Black is a premium livestock management software developed by Folio3. The software comes with advanced functionalities and features meant to improve the management and productivity of farm businesses.

The platform comes with an intuitive interface for easy adoption by farmers, enabling them to record and access crucial records seamlessly. Angus Black’s structured data storing capability enable farmers to get insight into critical performance indicators of each animal and take timely decisions. Some of the functionalities offered by the software include; detailed reporting, operations management, reminders & alerts, and record management.


- Intuitive and interactive interface

- Structured and hierarchical record management

- Individual tracking of animals

- Real-time operations management


2) Livestocked

Livestocked is a leading and widely used livestock management app. The app comes with an interactive interface and advance functionalities to help farmers manage herd effectively and drive increased profits.

Since 2013, the software has helped hundreds of farms to improve livestock farming practices and boost profits. The app is available for download from App Store and comes with advanced features including; traceability, livestock management, inventory management, cattle management, and more.


- Simple and intuitive interface

- Affordable platform

- Structured record-keeping

- Multiple livestock management


3) Calf Book

Calf book is a reliable and effective livestock management app that can be used by farm businesses of all sizes to effectively manage essential livestock records. It’s a simple and smart platform, which can easily be downloaded and used by farmers.

Some of the functionalities offered by the app include; yearling performance, calving data, calf weaning, breeding data, and many other intelligence features. Over the years, calf apps have enabled hundreds of businesses to effectively manage farm businesses and make intelligent business decisions using interactive reports.


- Offline data accessibility for users

- Intuitive interface with highest user adaptability

- Insightful reports detailing important insights for farmers


4) Breeding Wheel

The breeding wheel is a great app for livestock management farmers dealing with cattle, pork, or any other livestock. The app is available free of cost on the app store and can be used straight away thanks to its easy and intuitive interface.

The app has been developed to make livestock breeding easier and more efficient. The breeding Wheel comes with intelligent functionalities that enable farmers to identify any potential breeding issues with animals. The platform also enables farmers with easy service scheduling, proximity forecast, and get reminders for the drying date of cattle.


- Easy management of individual animals

- Advance features of identification of reproductive issues with animals

- Easy sharing of records between devices

- Free to use


5) Cattle Breeding Calculator

If you are looking for an efficient and effective livestock breeding app, the Cattle Breeding calculator is the definite choice for you. The platform is ranked as one of the best livestock management apps in the play store and is developed specifically to assist farmers with calving dates, returns, and management of other breeding issues.

The app lets farmers record all relevant breeding data of animals in a structured manner, as well as, share the data via an email functionality. The gestation calculator offered by the app help farmers to estimate forward and backward dates with much accuracy.


- Intuitive and interactive user interface

- Free download from Google Play Store

- Accurate gestation calculator

5 Must-Have Free Livestock Apps


1) Ranchr

Ranchr is a complete livestock management solution ideally suited to manage cattle herd. At the moment, the app is only available for iOS platforms and is widely popular amongst ranchers for its simple and highly-efficient livestock management features. The app offer users insights for herd performance, as well as, let them track the health performance of individual animals.

With interactive and detailed reporting features, the app let farmers keep up with the herd performance in real-time, and identify any breeding issues timely. The app makes the complete process of cattle health tracking and treatment simple and effective for ranchers, enabling them to streamline farm operations for improved productivity and increased profits.


- Easy record management and sorting 

- Intuitive and interactive interface for higher adaptability


2) Farmwizard Beef Manager

The Farmwizard Beef Manager is another high-utility livestock management tool meant to automate the farming business for improved efficiency. Some of the key features offered by the platform include; livestock management, supplier management, and traceability.

The app lets farmers record and access records remotely for greater efficiency. With smart tracking features, it also lets farmers track the herd performance in real-time and identify any specific breeding issues timely.


- Detailed and insightful reports

- Seamless user-interface

- Free app


3) Stock Move Express

Stock move express is specifically developed for startups and small farm business management. It enables ranchers to maintain detailed records of animals from birth till death. Over the years, the platform has proved its worth as high-utility livestock management and tracking application for small farms and startup businesses. Stock move express also new ranchers to track the breeding cycles of the herd, giving them real-time updates of any issues in the reproduction cycle and take appropriate actions.


- Easy data sharing with other users of NLMD-LT database even without internet connections

- Free to use

- Great for cattle and sheep management

- Intuitive and interactive user-interface


4) Moocall Breed Manager

The Moocall Breed Manager is a light and interactive livestock management app that help farmers easily manage the farm operations with herd cycles. The app lets farmers segregate the animals based on the breeding data. The herd can be categorized into in-calf cycling, in-heat, or inseminated animals for better management.


- Free livestock management app

- Categorize animals based on breeding cycles for efficient management


5) iHerd

iHerd is a free livestock management software that comes with some high-end features. The app enables farmers to track the herd from birth to death and record everything in between. iHerd is a cloud-based livestock management platform that enables farmers for easy and efficient herd management by letting farmers store and access data from anywhere. 



Easy and effective herd management

Automated accounting and auditing features

Free livestock management app



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computer vision applications

Computer Vision Applications – 15 Best Computer Vision Apps and Case Studies

15 Best Computer Vision Applications for SMEs and Enterprises

Muhammad Imran


November 28th, 2020

Computer vision has changed the way that organizations from various verticals use of visual content. Explore the best Computer vision applications.

computer vision applications

Computer Vision is a disruptive technology that emerged from the world of Deep Learning and Artificial Intelligence. The ultimate aim of computer vision technology is to train machines/computers in a way that they recognize the visual world and understand the particular situation by analyzing digital videos, images, and other deep learning models perfectly, and respond according to that.

In the past few decades, Computer vision application has changed the way that organizations from various verticals use visual content. Organizations that have adopted computer vision application technology can easily process and extract high-dimension data and can produce real-time information by using digital images while empowering organizations to improve their processes and viably meet their objectives.  

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Folio3 is Your Custom Computer Vision Applications Partner

If you are looking for a partner who can work with you on the latest computer vision applications, then Folio3 would be your best choice. The company is rapidly innovating Computer vision techniques and bringing high-value solutions to clients. Some of the computer vision application solution offered by Folio3 includes;

Image processing

Virtual search

Picture handling: 

Object Recognition 

Biometric Identity Authentication

Event detection and recognition 

Compression and filtering

Advance computational imaging

Video Archiving and Retrieval

Image and video-based indexing


Augmented reality

Let's discuss a few of them.

Image processing

AI Image processing is a method to perform the analytical process on an image, to get an enhanced image, or to extract some useful information from it. It is a type of signal processing in which input is an image and output may be an image or characteristics/features associated with that image.

Virtual Search

It is another feature of Computer vision application using Artificial intelligence that made searching easier and simple. It uses screenshots or images for searching instead of text.

Object Recognition

Object Recognition is another Computer vision technique that focuses on identifying the various objects in videos and images. It is similar to when humans look at an image that consists of various creatures, they can easily spot objects, people, and other visual details. Face Detection is one of the most common areas.

Biometric Identity Authentication

Biometric identification Authentication is used to decide, "Who are you”. The main focus is to store the person’s biometric data, which can be either fingerprint, the sound of their voice, or a photo of their face, that data is compared to the other person biometric, if the data matches then the person get authenticated. Below are some other ways for Biometric Identity Authentication.

Fingerprint scanners 

Facial pattern recognition devices 

Hand geometry recognition devices 

Iris scan identification devices 

Retinal scan identification 

Augmented reality

Augmented reality is an advanced technology that overlays virtual objects and information such as sounds, text, or images in a real-world environment in real-time. It creates a new artificial environment by using the existing environment with some additional information.

Road Traffic Analysis Computer Vision Demo Application by Folio3

The road traffic analysis solution from Folio3 is an incredible practical application of computer vision technology that comes with higher performance and superior accuracy. The technology is able to process both offline digital and real-time image processing with the automated testing feature, data labeling, and analysis. The company’s extensive experience in embedded systems and huge sets of the tool enables the company to create high-value and innovative solutions which can be easily implemented and that can be integrated with video and image capture and any other computer vision application. 

Computer vision applications in road traffic analysis sense the license plate numbers, capture high speeding, break the signal, and more. Then the data can be reported and automatically issue fines without any administrative interference.

Folio3 partnered with various technology users to ensure the comprehensibility of the application and come up with a practical and high-value computer vision application. The experienced technology team at Folio3 ensured to pay close attention to every single detail to create a competitive application, which fulfills the client’s requirements. 

Face Recognition Demo Computer Vision Application by Folio3

Folio3 has strong experience and expertise in the development and design of computer vision and Artificial Intelligence. The company helped clients to stay ahead of the competitive edge with its innovative tech solutions. The company maintains distinctive proficiency in establishing seamless image recognition, facial recognition, and other similar solutions. 

Face Recognition is a revolution in the field of computer vision technology; it helps in identifying or verifying a face by using an image, video, or any audiovisual feature on the face, which improves safety and reliability. Folio3 provides facial recognition technology that helps in detecting and identifying, faces in videos and images. We can assist you in building comprehensive business plans like counting people in spaces or gathering, identification, and attention access only by using facial recognition.

5 Best Computer Vision Applications for Startups

Recent enhancement and development in the field of deep learning and artificial intelligence have immensely improved the efficiencies of the visual recognition system. Various companies have been rapidly adopting innovative computer vision applications to gain a competitive edge.

Let’s look into a few computer vision applications for startups

1) Defect detection

Defect detection is one of the most widely used applications of computer vision across various industries. Previously, defect detection was carried out by trained people, who were responsible to control the quality of the production. However, the manual operations aren’t just time-consuming and expensive, but also there remains a chance of human errors.

Today, automated defect detection technology powered by computer vision is enabling startups and small businesses to design robust quality control measures. The technology gives startups the qualitative edge they need to deliver superior quality products to compete with the major players in the industry.

2) Mineral Mapping 

The modern-day advanced sensors are able to capture images in hundreds of small electromagnetic bands. The hyperspectral sensors have the capability to take the most detailed images for target detection. The powerful image analysis techniques based on computer vision is enabling small businesses in the mining sector to effectively utilize the hyperspectral imagery for the detection of minerals across vast swaths of remote lands. The powerful computer vision algorithms are able to utilize all spectral bands of the hyperspectral imagery and identify the reflectance/absorption spectra of the target mineral to help startups fasten up the reconnaissance and mineral mapping process.

3) Agriculture

The advancement of computer vision technology has also seen the rise of precision agriculture. By utilizing powerful AI drones, farmers today are able to scan through their farms and get real-time imagery of the crops. This coupled with automated computer vision algorithms capable of performing image processing and analysis enable farmers to monitor crop health in real-time. Modern-day computer vision algorithms can also be used to assess the soil fertility, and chlorophyll content of the crop, thereby, greatly improving the quality of produce from the farms.

4) Assembly verification

The growing complexities in the assemblies of modern machinery and equipment can be a challenging task for startups, with no real experienced technicians. However, computer vision technology today is enabling startups and small businesses to ensure verification of assemblies in real-time. The technology not only brings down the cost of the operations but also significantly fasten up the operations for higher efficiency and productivity.

5) Retail Industry

While this may be still a nascent application, computer vision technology is already being used by Amazon for its flagship Amazon Go retail store. The technology enables retail stores to operate without the need for manual checkouts. The detailed camera system installed in the store is powered by robust computer vision algorithms that enable them to scan through the items as they are picked and placed inside the cart. The algorithms are able to scan in real-time as the items are placed in the cart and the total cost of the shopping is deducted from the account automatically. The technology can be game-changing for startups, bringing them the qualitative edge they need to compete with the retail giants.

5 Must-Have Computer Vision Applications for SMEs and Enterprises


1) Human Pose Estimation

Human Pose Estimation is a fascinating computer vision application. Posenet is a popular open-source model for human pose estimation. It is used to infer a pose of any human or object available in the video or image  

First, understand the "Human Pose Skeleton" before moving towards the working of pose estimation. It consists of coordinates to characterize the person`s pose. The pair of coordinates is called a limb. It works by finding, locating, and tracking the points of the skeleton in a video or image

Here are some Human Pose Estimation applications:

  • Activity recognition for real-time sports analysis or surveillance system.
  • For Augmented reality experiences
  • In training Robots
  • Animation and gaming


2) Image Transformation Using GANs

Faceapp is an interesting application among people. By using a filter, it transforms the images and works as an image manipulation tool. There are multiple filters available in application like aging and gender swap filter  

A few days back, it was a trend on the internet to share pictures after using the gender swap filter. Computer vision is working behind these kinds of applications.

Generative adversarial networks commonly known as GAN are an old concept although, but an exciting transformation in the computer vision field. It has made a lot of development since it was proposed again in 2014 by Goodfellow.


The following are some of GAN generated applications.

  • Image to image translation in style transfer and photo in a painting
  • Image super-resolution
  • Text to image generation
  • Image editing
  • Semantic image to photo translation


3) Computer Vision for Developing Social Distancing Tools

The whole world is suffering from the COVID-19 pandemic since the last year, and it will exist until the vaccine is not available. We all must follow all the precautionary measures like a facemask, hand sanitizer, and most important social distancing   

Computer vision application plays an important role in this critical condition. It allows tracking people in a particular area to make sure that they are following social distancing or not. The social distancing tool is an application of object detection and tracking in real-time. By using a bounding box in the application, we can find the person who is violating social distancing. The same bounding box can be to frame and calculate the distance among people. The box will lighten up if there is any social distancing violation.


4) Creating a 3D Model from 2D Images

It is another fascinating computer vision application. It converts a 2 dimensional (2D) image into a 3 dimensional (3D) model. For example, you are having an old picture of yourself, now you can convert it into a 3D model and enjoy, as you are present there. 


The following are its applications 

  • Animation and Gaming
  • Robotics
  • Self-driving cars


5) Medical Diagnosis and surgical operations

It has been a long time since the healthcare department uses medical images for diagnosis purposes like X-rays, CT scans, etc. computer vision allows doctors to understand the reports more precisely by converting those images into 3d models, which makes the analysis and decision making easier.

We can see that computer vision is highly in use of healthcare departments for detecting the COVID-19 cases using X-rays.

Top Computer Vision Applications and Case Studies in Different Industries

Computer vision bases on AI technology allows computers to label and recognize images, is now widely used in stores, medical diagnostics, driverless car testing, and monitoring the health of livestock and crops.

Various use cases of computer vision found in the following industries.

  • Retail and Retail Security
  • Automotive
  • Healthcare
  • Agriculture
  • Banking
  • Industrial

Retail and Retail Security

  • Amazon

Amazon has recently launched the Amazon Go store, which was initially opened for its employees but now welcomed the public. Amazon Go store refers to a place where shopper does not have to wait in long queues for payments and checkouts.

Just Walk Out is the innovative technology behind the Go store based on computer vision technology. Before entering the store shoppers need to activate the android or IOS mobile application. Cameras are allocated in the ceilings and on shelves; these cameras are efficient enough to detect the item when it is picked up from the shelf and a person who has picked it. The system is capable enough to remove the item from the shopper`s virtual basket if it is returned to the shelf. The app ensures to track all the people present in the store while generating bills of the right items to the right shoppers.

The shopper is allowed to walk out of the store after completing their shopping. The app will automatically generate the invoice and send them online while charging the amount of the items from their Amazon account.


Computer Vision technology helps in the healthcare department, that allows healthcare professionals to precisely monitor the illness or condition of a patient by reducing incorrect treatment or inaccurate diagnoses

  • Gauss Surgical

The company has been able to leverage the computer-vision technology to develop a powerful blood-monitoring system that can estimate the blood-loss in real time. The computer-vision driven solution is also more capable to determine the hemorrhage conditions in patients, as well as, maximizes the transfusions. 

Gauss surgical`s triton captures blood images on sponges and suction canister using an iPad based app. This application is based on Computer vision and machine language algorithms, Healthcare professionals in hospitals use this application to calculate the amount of blood loss during Caesarian deliveries or surgical operations.  

In 2017. Gauss surgical perform an analysis on the amount of blood on the suction canister or surgical sponges collected from the cesarean delivering during by using this application found that the result is more accurate than obstetricians' visual estimates.


Computer vision technology is now adopting by many farmers to enhance their operation. It helps the farmer to adopt efficient growth techniques, which return in increasing overall profit. 

  • Slantrange

The company is known for development of advanced AI drones powered by computer-vision technology with intelligent systems containing processors, sensors, storage devices, and AI software to monitor and measure the condition of crops. The camera supports a resolution of 4.8 cm/pixel when recording from a height of 120 meters, it can provide a better result if flying from less height.

The drone takes pictures of the field to show the different conditions of the crops, which can be compared to decide which crop needs immediate action. If stressed crops are found, then these stressors may have dehydration, pest infestations, and nutrient deficiencies, these conditions passed to the organization, which analyze the data, and provide better solutions to the farmer for better treatment.

Alex Petersen, owner of On Target Imaging states that if the farming approach changes from analog agriculture to digital agriculture then it will harvest more crops with minimum input and improves the overall farming method. 


Just like various other industries, the computer vision technology is quickly finding its applications in the banking sector, where it is being used to automate the various traditional banking procedures.

  • Mitek Systems

Mitek Systems has been able to leverage the computer vision technology to develop robust image recognition algorithms that are able to classify and authenticate various official documents, as well as, extract data such as ID cards, passports, driver’s licenses, and checks.

The application works by taking a photo of the customer id via a mobile device which sends to the user`s bank to verify the authenticity. When their authenticity is confirmed then the check or application process.  

The process starts when the user enters his mobile number into an application form of bank. A message will be received on his with a link the user can tap to open an image-capture experience, the user can select an image from an ID card, passport, or driving license. As the image uploads the application, send real-time feedback while ensuring that the image is captured in high quality. The app corrects the pictures as well such as distortion and poor lighting conditions.  


  • Osprey Informatics

Osprey informatics are used in the industrial sector to monitor the status or conditions of complex infrastructures and manufacturing divisions, such as work activity remote, wells, industrial facilities, and site security

In one study, the online visual monitoring system developed by the company was able to lower the number of onsite visits significantly, while also greatly reducing the overall costs of operations. The customer was searching for ways to make oil production efficient. Osprey place virtual monitoring system for monitoring and identifying new applications to increase productivity. The site visits were reduced to 50 % by using Osprey Solution. The cost visit per person also reduced from $20 to 1$

As per the company Website, computer vision technology is using in many industrial facilities including chemical factories, oil and gas platforms, and even nuclear power plants. Data collected from cameras and sensors are conveying to AI software. Which notifies the maintenance departments to take safety precautions before any big damage.

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what is a computer vision technology

What is a Computer Vision Technology?

What is a Computer Vision Technology?

Muhammad Imran


November 15th, 2020

Today, with decades of research and refinement, computer vision technology has greatly matured and very much a reality.

But what exactly computer vision technology is all about?

what is a computer vision technology

At the turn of the 20th century, computer vision seemed little more than a crazy unrealistic dream of scientists and scholars. The Summer Vision Project was perhaps the first computer vision project that was assigned to undergrads back in 1960. The key vision then was to utilize the computing power (whatever existed then) to develop a computer program (algorithm) capable of understanding, analyzing, interpreting, and responding to stimuli from the surrounding.

Since then there have been growing efforts to develop more robust and intelligent computer vision algorithms that are able to understand, interpret, and interact with the surrounding. The fast-track technological advancement in the 1990s that significantly reduced the prices and increased availability of high-powered supercomputers further increased the development of computer vision technology as engineers rushed to come up with more complex and robust mathematical models.

Today, with decades of research and refinement, computer vision technology has greatly matured and very much a reality.

But what exactly computer vision technology is all about?

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What Is Computer Vision Technology For SMEs and Enterprises?

To put it simply, computer vision is a subfield of Artificial Intelligence that is meant to take understand the visual components (imagery or video) for identification, analysis, processing, and extraction of information. It’s the technology that fuels the limitless application of image processing software, image segmentation overcoming the inherent limitation of the human eye to process the information from visual components.  

Today, computer vision technology is able to train models for effective and efficient analysis of the visual components (imagery and videos) to yield discreet information which otherwise isn’t possible for humans to do it on their own.

Computer vision has remained an area of study as a machine learning concept for quite some time. As far back as the 1950s, the raw concepts of computer vision were used to analyze environmental objects and systems. Although still in its infancy then, the core concept for the technology has remained consistent – devising useful information from the visual components using intelligent machine learning models that are able to identify, analyze and process information from visual components. However, the technological restrictions of that time-restricted the scope and application of computer vision technology back until the 1990s, when finally supercomputers were started to mass produce and be available for scientists to continue their research for the development of robust computer vision technology.

Today, the technology has matured greatly with advanced algorithms being developed for practical utilization of the technology in daily lives, which have proved to be of great worth for personal and commercial use. Today, various companies are developing comprehensive and advance computer vision technology applications with cross-industry utility.

Read our detailed guide on how does computer vision works?

Applications of Computer Vision Technology

Computer vision technology is making its way into all aspects of commercial and personal lives. Today, nearly all industry sectors private and public included are utilizing the power of computer vision technology to track, process, and interpret the world around them. Below we have come up with some of the top applications of computer vision technology;

Improved Online Merchandising

For the past two decades, online merchandising has solely relied on tags to understand customers’ search queries. For instance, to define a bag, an online merchandiser attach various tags with the products like “bag”, “Polyester”, “Black”, “cotton” or other tags that enable to refine the search results for the users.

The system has been working fine for online merchandising for decades, even though this wasn’t the most efficient or effective system. Nonetheless, with the rapid adoption of computer vision technology, this is soon going to change, making it must easier for customers to find the precise merchandise they are looking for.

The technology will essentially eliminate the reliance on tags for merchandise search, rather it will bring into place comparison for actual physical characteristics of products in the image. In simple terms, in the future, customers no longer would have to rely on tags to find out the best product, rather they will be able to perform image similarity to find the exact product (size, shape, color, and other physical characteristics) they are looking for.

Redefining the retail experience

Perhaps the most fascinating and exciting application of computer vision technology is its ability to redefine the retail experience for customers. Amazon Go is a prime example of the capacity and capability of computer vision technology for users.

If you already aren’t aware of the Amazon Go stores and image analytics, there are physical stores with no checkout lines. Customers can visit the stores with no cashiers. You can just pick up whatever you want and leave the store. The store is fitted with a camera system all across, which is able to track and identify the movements of shoppers. The smart cart carried by customers also comes with scanners, which instantly detect any items that are placed or removed from the cart. The powerful computer vision algorithms running the cameras automatically detect and make transactions for the items from customers’ online account, thereby, saving them the hassle of going through the cashier lines.

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what is a computer vision engineer

What is a Computer Vision Engineer – Beginners Guide

What is a Computer Vision Engineer?

Muhammad Imran


November 4th, 2020

At the core of its job, a computer vision engineer is tasked to create computer vision algorithms that are meant to process large visual data ad solve real-world problems.

what is a computer vision engineer

Computer vision engineering is one of the fastest-growing fields that deal with the ability of computers to read, analyze, and process digital images or videos. It’s an interdisciplinary scientific field that is at the centre of technological advancements and seeks to automate the human visual system. The computer vision engineers excel in developing complex machine algorithms that are able to understand, analyze, and extract key information from imagery. At the basic, the field is closely related to machine learning and artificial technology, where the end objective is to enhance the capabilities of the machine in achieving automation for various computer vision tasks.

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Folio3 is Your Best Computer Vision Engineer Partner

Computer vision engineering along with machine learning and artificial intelligence has significantly enhanced the machine capabilities for visual data analysis. Today, computer vision engineers are responsible for the development of robust algorithms to extract key information from the visual content. The technology may be used to analyze high-dimensional data and extract information in real-time, enabling businesses to boost their workflow processes and achieve higher productivity.

Folio3 is among the leading tech companies delivering businesses innovative and robust computer vision engineering solutions for image recognition. The company comes with extensive experience and proven expertise in offering digital image processing solutions meant to automate various tasks related to visual interpretation. The complex computer vision algorithms developed by the Folio3 offers unmatched precision and performance for teal-time and even offline digital image processed solutions. With strong expertise in the embedded systems and an extensive portfolio of high-utility tools to create innovative solutions, Folio3 is able to work with individual businesses to develop customize computer vision algorithms for unique business needs.

Folio3 also often collaborates with some of the leading tech businesses across the world, as a means to share knowledge and build better capabilities to create innovative and robust computer vision applications. The massive investment in the research and development teams has enabled Folio3 to come up with some of the most innovative and comprehensive computer vision products available in the market.

Some of the key computer vision solutions offered by Folio3 includes;

Digital image processing

Image Segmentation

Image Similarity

Compression and filtering

Image Analytics

Bio-metric identity authentication

Image and video-based indexing

Advanced computational imaging

Visual search

Video archiving and retrieval

Event detection and recognition

What is a Computer Vision Engineer Job Description?

At the core of its job, a computer vision engineer is tasked to create computer vision algorithms that are meant to process large visual data ad solve real-world problems. For much of the time, computer vision engineers conduct extensive research and testing of machine learning primitives and implement algorithms for testing accuracy and performance. Computer vision engineers work in teams with personnel responsible to implement novel embedded architectures. Some of the key skills for computer vision engineers including machine learning, image segmentation, and image recognition.

Necessary Skills

A large part of the question; what is a computer vision engineer is described by the skills possessed by the person. Since computer vision engineering is an interdisciplinary field, computer vision engineers come with skills in various fields including linear algebra, machine learning, development environment, object-oriented programming, critical-thinking skills, and others.

Learn more about how does computer vision works in this detailed guide.

What is a Vision Engineer Use Cases in the Real World?

Today, computer vision engineering is used extensively in cross-industry applications, with the core purpose of creating a more efficient and effective digital image recognition technology that is able to analyze, process, and extract vital information from the visual data. Some of the leading tech companies in the world including; Google, Amazon, Microsoft, Facebook, and others are investing USD billions in research and development of computer vision technology and come up with more powerful and comprehensive tools.

Some of the industries that have implemented computer vision engineering in their workflow processes to design and create better workflow processes include;








Below we have come up with some cross-industry application of Computer vision engineering;

Retail Industry


The latest sensation from Amazon is its retail outlet namely the Amazon Go store. It’s a futuristic retail concept with no cashiers. The shoppers don’t need to wait in line to pay for the things, rather they can just take up the things they want and leave the store. At present, Amazon Go has started in Seattle, Washington, where the store is fitted with an advanced camera system integrated with computer vision technology.

The computer vision technology that powers Amazon’s futuristic stores is called Just Walk Out. It enables people to take all the items they want, which are instantly scanned by the scanning devices, which in turn totaled the purchasing cost of the items and is deducted from the shopper’s digital wallet. The entire Amazon Go store is surveilled by cameras that are present on all the aisles and ceilings. The computer vision technology that powers that camera enables the comprehensive imaging system of the store to determine the place from where an item is removed by a customer, as well as when the customer put back an item to the shelf. The imaging system also enables the app to keep surveillance of the shoppers across the stores, ensuring the customers’ are billed correctly for the items they purchased.


Apart from the retail industry, the automotive industry is also fast integrating computer vision technology along with other data analytics technologies like machine learning and artificial intelligence to create the next generation of auto-drive cars. Here’s a use case of computer vision engineering in the automotive sector;


Waymo is a leading automotive business with a strong focus to create a better and safer transportation system. Google self-driving car project, or what we now know as Waymo is utilizing futuristic technologies like computer vision to create self-driving cars and robust sensors as a means to improve the safety and comfort of people.

According to the company, cars developed by Waymo are integrated with the sensors and software which are able to identify movements of vehicles, pedestrians, road movements, and others at 360-degrees. Waymo also claims that the company has already tested the software and sensors for over 7 million miles

on public roads, and has been successful in safe navigation of self-driving vehicles, through the daily traffic.

What is a Machine Vision Engineer Skills to look for?

Some of the key skills to lookout in a machine vision engineer includes;

- Computer vision knowledge

- Development environment

- Programming

- CV tools

Is computer vision a good career in 2021?

The demand for expert and experienced computer vision engineers has continued to increase for the past decade. With the projected growth of AR and VR technologies reaching over $200 billion in the next few years, the continuous development of self-driving cars and other digital image processing technologies, it can be safely predicted that computer vision engineers will remain in high demand for the foreseeable future.

How do I start a computer vision engineer career in 2021?

For being a computer vision engineer, you will need a Graduation degree in engineering (BE) preferably in the Computer Science field. You will also need to have a working knowledge of statistics, mathematics, programming, and other related fields.

What are computer vision engineer techniques?

Image Classification

Object Detection

Object Tracking 

Semantic Segmentation

Instance Segmentation 

Image Reconstruction 

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mini drones

How Mini Drones are Transforming the Traditional Industries – 13 Best RC Mini Drones With Camera

How Mini Drones are Transforming the Traditional Industries-

13 Best RC Mini Drones With Camera

Muhammad Imran


October 27, 2020

The best mini RC micro drones with camera used across various industries including agriculture, military, logistics and others. Affordable mini drones.

mini drones

Are you looking to purchase a mini drone? In recent years mini-drones have become hugely popular amongst people from all walks of life. From ai drones hobbyists to professionals, mini-drones have been a go-to tool to capture stunning imagery, as well as, perform various laborious tasks.

Now, the key to buying mini drones with camera is to understand your needs. Do you just need for getting some awesome imagery or looking to use it professionally in a specific field? Here in this blog, we have covered all possible aspects of mini drones with cameras with their uses. We will also be looking at some of the best mini drones with camera to help you choose the most suited mini drones for your required purpose.

So, let’s just dive in…

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Mini Drones for Livestock Management

The drones have come a long way into applicability in the agriculture industry. While precision agriculture is one of the most effective applications of drones in the agriculture industry, this isn’t the only purpose served.  

Today, mini drones with powerful AI-backed technology are enabling ranchers to better manage their animals. Given that livestock farming is a highly laborious work, mini drones can significantly help improve the livestock farm management across the fields, pastures, hills, and moorlands.

Traditional livestock management practices rely on human observations and tracking of livestock across the vast swaths of terrain, which is simply a hectic, laborious, and redundant task. Today, mini drones with various types of imaging equipment and AI-technology is enabling ranchers to keep close track of their cattle, across all types of landscape. The drones may be used to identify individual animals in the herd using coloured collars, tags, or other identification symbols.

By equipping mini drones with camera (specifically thermal cameras) it is also possible for ranchers to keep up with the livestock tracking even under the tree canopy, by looking at heat signatures of the livestock. Mini drones with camera are quite capable of tracking and herding the entire herd.

Some of the possible uses of mini drones with camera for livestock management includes;

Pasture utilization

Assessing livestock behaviour

Planning grazing distribution

Livestock monitoring


Some of the livestock management functions which may be performed by specific mini-drones include;

Mini drones with downward facing cameras may be used to track the motion and orientation of herd, as well as, track individual animals.

Mini drones with thermal imaging camera can be used to track herd location under the tree canopy or at night.

GPS sensors equipped mini-drones may be used to track the precise location of animals fitted with GPS collars.

Mini Drones for Solar Panel Inspection

The ability to cover vast swathes of lands for surveillance purposes and capture high-resolution bird eye view imagery is certainly one of the key features of mini-drones. Just like the increasing use of mini drones with camera for livestock management, these highly precise flying robots are also extensively used to manage solar farms and inspection.

Businesses in the energy sectors across the world are exploiting cutting-edge technologies with mini-drones to improve their efficiency for monitoring solar energy farms, as a means to continue to supply reliable and affordable energy to customers.

Challenges of Solar Farm Inspections

The energy needs are soaring across the world, as energy companies struggle to keep up with the demand. With an increased focus on green and renewable energy generation, businesses are investing in the development of massive solar farms spread across thousands of hectares; typically in arid areas. Typically a solar farm spread across 2500+ acres would be required to generate energy for 100,000 households, which gives a clear idea about the giantess of the scale we are talking about.

Traditionally, solar farms are to be managed manually by human inspectors carrying thermal imagers to identify broken or defective cells amongst thousands of solar panels. This isn’t just a massively time-intensive process but also difficult to keep track of all the faulty panels; given the massive scale of the solar farms.

Today, companies are exploiting the power of mini-drones equipped with thermal imaging sensors to perform surveillance and maintenance of solar farms. These powerful flying robots offer a fast, reliable, and cost-effective alternative to manual inspections; cutting inspection time by as much as 70%.

How Folio3’s AI Mini Drone Inspection Solution Works?

Folio3 has been actively working to come up with powerful hardware and software solutions for mini-drones to enable them to take on more aggressive roles. From working with powerful thermal cameras to the development of complex AI-based algorithms to identify anomalies in solar farms, the company is coming up with innovative solutions to keep up the inspection needs of the solar farm management. Some of the solar farm management solutions offered by Folio3 includes;

Identification of hotspots on solar cells

Identification of shattered cells

Identification of dirty solar panels

Fogging anomalies

Identification of diode failures

Other anomalies detection.

Mini Drones for Terrain Mapping

Terrain mapping is another field where powerful mini drones with the camera have transformed the traditional systems. The continuous evolution of drones; integrating cutting-edge technologies make them the perfect solution to be used for various terrain mapping purposes including;

Land surveys


3D mapping

Topographic survey

Terrain mapping enables farmers, and city planners to quickly acquire the key terrain data required to effectively plan the utilization of lands. Typically, the survey is performed manually using various sort of surveying equipment, which isn’t just a too complex and time-consuming process but also compromise on the preciseness of the survey. 

Today, mini drones equipped with LiDAR are able to traverse through vast swathes of lands to capture key data, which can be used to create 2D or 3D models of the terrain.

How accurate are drone surveys?

The preciseness of drone surveys may vary depending on the techniques of the survey, as well as, the technology of the equipment used for surveys.

If we are to look at the established accuracy of the mini drones for terrain mapping, we have examples of drones achieving an accuracy of 2 cm and 1.20 cm relative vertical and horizontal accuracy respectively.

This level of accuracy is sufficient for various types of applications including terrain mapping for construction progress or crop growth. Whereas, for even higher accuracy required for very specific tasks drones can be added with real-time kinematics (RTK) capabilities.

Folio3 is your Custom Drones Mini Tech Partner

Today, AI drones mini are finding their way into all professional fields and practical uses. Apart from Artificial Technology, other futuristic technologies like Computer Vision and Machine Learning have enabled the development of smart machines that are able to capture imaging using different sensors and perform data analytics automatically to improve the response time.

Folio3 is at the helm of the development of innovative AI-based drones mini technology. The company has been working extensively on the development of complex algorithms and innovative software solutions to come up with effective, and efficient drone-based solutions to real-world problems. By closely collaborating with the professionals in the industry including farmers, ranchers, surveyors, and others the company has been able to make viable and practice solutions developed for real-world problems.

9 Best Mini Drones with Camera

1) DJI Spark Mini

DJI is definitely one of the biggest names when it comes to RC mini drones. The company has manufactured some of the best mini drones with a camera and this DJI Spark Mini is no exception. This brilliant mini drone once powered on will take-off in a few seconds. The powerful camera system that comes with the drone is able to capture stunning aerial imagery by your hand gestures. The Intelligent Flight Modes and intuitive control certainly make it one of the best mini drones with a camera.


- Intuitive front camera controls with hand gestures

- Compact and easy to carry around

- Mechanical stabilization

- Adjustable camera angle

- GPS and GLONASS satellite positioning for superior flight stability


- Only support video recording of up to 1080p

- Short battery timing

- Short hover time


2) Potensic A20 Mini Drone

This is ideal drones for kids and beginners who have just ventured into the drone flying hobby. The Potensic A20 Mini drone comes with 3-speed levels for easy flight control and greater stability. The drone can be easily controlled for flight directions using a remote control.


- Protection against collision

- Lightweight and compatible

- Up to 12 minutes of flight time

- Emergency stop function


- More suited for beginners and children

- No GPS


3) Syma X11 Mini Drone

The Syma X11 Mini is another great mini drone for kids and beginners that comes with an awesome 6 axis gyro direction stabilizer, making it a perfect drone for beginners. The drone is able to perform 360-degree flips and other aerial tricks.


- 2 MP HD camera

- Up to 8 minutes of flight time

- Blade protector for flight safety

- Flashing color lights


- No option to view real-time videos

- Slow charging speed


4) Hubsan X4 H107L Mini Drone

The Husban X4 H107L Mini drone is a great option for people looking for some cool drone for indoor and outdoor use. the quad-rotor thrust in the drone enables it to handle many outdoor purposes, whereas, the LiPo battery ensures your drone gets charged super quick.


- Higher thrust and low weight

- Easy to perform aerial tricks

- 100-meters range

- Direction control

- Up to 8 minutes of flight time


- Not suitable for extreme outdoor use (heavy winds or rainfall)


5) Cheerwing Syma X20 Mini Drone

This is one of the smallest quadcopters that’s available in the market. It’s also one of the best mini drones for indoor use. The drone comes with a propeller protector and a built-in battery. The drone can perform 3D flips and can easily be controlled for directions.


- Smart propeller guard

- Easy take-off and landing

- 360-degree eversion

- LED lights


- No camera

- Short flight time


6) Hover Passport

As can be taken by name, it is an intelligently built mini drone that can easily be carried anywhere. the extreme simple control functions make it one of the best mini drones with a camera. All you need to do is to toss it up and the drone will start hovering. The intelligent system that powers the drone is able to visually locks the controller, making it a great choice for taking awesome selfies.


- Easy control

- Compatible 

- Intelligent visual locking system


- Expensive


7) Ryze Tello

This awesome drone is manufactured using various parts from DJI, which is one reason why it’s also being sold on the DJI website. However, this isn’t a DJI product, as most people get confused by looking at it on the official DJI site. Nonetheless, it’s a great flying machine that may be used for various purposes including education and taking great shots.


- Easy to handle

- High-end in its class

- Great for beginners


- Built from using off-the-shelf components from different manufacturers


8) UVify OOri

The UVify OOri comes with a long shining history in drone racing. It is certainly one of the best mini drones with a camera for racing purposes. The best part about the drone is its multiple flying speed levels, which enable it to fly slowly for indoor settings, whereas, it can attain a speed of over 50MPH during races.


- Legacy race drone

- Dual speed levels

- Agile and lightweight


- Most suited for beginners


9) Yuneec Mantis G

The Yuneec Mantis G is the successor or Mantis Q and surely one of the best mini drones with a camera. The machine comes with a new stabilized camera system, higher flight time, sleek and compact design, as well as, easy controllers.


- Agile and lightweight

- Superior flight time

- New camera system


- Expensive

4 Best Micro Drones with Camera


1) Hubsan X4 H107C

The Husban X4 H107C comes in a variety of color range with a built-in 0.3MP camera. This little tiny machine is able to capture videos. While it’s more expensive than some of the other quadcopters available in the market, it does have more features like six-axis gyro technology.


- Video recording

- Flight stabilization

- Durable frame


- Costly

- Need to purchase SD card separately


2) Blade BLH7280 Nano

The blade is a recognized name in the micro drone manufacturer industry and the BLH7280 Nano doesn’t disappoint either. The drone comes with a camera and some great features; although it is also priced a little higher than some other micro drones. The Blade has integrated its patented SAFE technology to make it easy to control, as well as, safe for flying in indoor settings.


- Small compact design for indoor flights

- Lightweight durable design

- Includes extra blades

- SAFE technology


- Relatively costly


3) KOOME Mini Drone Nano Quadcopter

The KOOME Mini Drone Nano Quadcopter is the best drone with a camera for first-time hobbyists. The drone offers a detailed and easy learning curve, with no prior skills needed. It also packs some cool features; just to give you a real feel of flying an actual drone.


Easy control

High-speed manoeuvres

Easy to control


Short flight time


4) EACHINE E10C Mini Quadcopter Drone with Camera

Eachine E10C is a great flying tool that’s pocket friendly and able to take some stunning shots. It’s an ideal drone for hobbyists looking to take some magnificent shots during travel. While it’s super tiny in size, it doesn’t compromise on features. The 2MP built-in camera will certainly perform better than your expectations, whereas the dual flight modes allow users to choose different speed modes.


Superior 2.0 MP camera

Durable and portable design

Dual flight modes

LED markers for higher visibility


Not much suited for beginners

Drones Mini for Commercial/Business Applications and Use Cases

Mini drones have been extensively used in various commercial/business applications. From science to farming and from entertainment to supply chain, today mini drones with cameras are taking over different roles and purposes to better serve the commercial and business sectors. Some of the commercial uses of drones mini technology includes;


Drones are the natural choice for the entertainment industry given their ability to take amazing shots from above. The entertainment industry is also one of the first industries to incorporate the use of drone technology into workflow procedures and processes. Today, mini drones with cameras are revolutionizing the way the entertainment industry operates, opening a whole set of new opportunities for the industry to create innovative and engaging content.

From the entertainment giant Disney to local content creators, businesses are incorporating the use of drone technology to create stunning content.


Apart from the entertainment industry, advertising is yet another media-related industry that has massively invested in the use of mini-drones. Mini drones with cameras are used in the advertisement industry to create bespoke and enchanting advertisements as a means to engage more customers.

Today, advanced AI technologies are pushing the limits of drone technology being used to create stunning shots across the advertising industry. The technology is also being used by various private businesses like restaurants and hotels to create an exquisite advertising campaign for the products.

Emergency Response

The use of drones in emergency response roles is not new. In fact, drones have been used excessively as first emergency responders across the United States, Canada, Europe, Australia, and other parts of the world. Today, as new powerful drone technologies are being introduced in the market, it is becoming possible to utilize drones for rescue and relief operations across disaster-struck regions. Government and private agencies alike, are exploiting the remote reach and accessibility of drones into the disaster-struck areas to offer relief services to injured or stuck people. In fact, AI-powered drone technologies in the medical field like Defibrillator are making it possible to use mini-drones as medial agents to save precious lives.


Logistics is one of the latest commercial fields where drones have just started to make an impact. While the utilization of mini-drones for logistic purposes is still limited, companies like Amazon are already testing the efficiency and effectiveness of the drone fleet to manage parcel delivery. Other companies are also testing the technology to identify areas where mini drones with AI technologies can help them automate workflow processes.

Drones Mini for Agriculture Purposes

As stated above, drone technology has transformed agricultural practices for good. Today, mini drones powered by AI technologies are readily taking over various traditional tasks associated with the agriculture industry like soil mapping, terrain analysis, crop health monitoring, and others.

Here are some of the widespread use of drone technology in the agriculture industry;

Soil Mapping

Mini drones with multiple imaging systems including thermal and infrared imaging systems enable farmers to keep up with the monitoring of soil quality. The powerful analytical tools offered by companies like Folio3 enable automated processing of imagery to give farmers a clear picture about the soil condition and take precautionary steps.

Seed Planting

Another advanced application of drone technology is helping farmers with seed planting. This is a recently introduced technology that is still being tested for efficiency. Nonetheless, mini-drones programmed with AI technology can help farmers with seed plantation across the fields, greatly reducing the time required for seeding and harvesting.

Crop Health Monitoring

Drones with infrared sensors and AI-technologies are able to consistently check crop health using image analysis algorithms like NDVI. This enables farmers to keep close track of the crop health and identify any potential disease before it spread across the harvest.

Best Mini Drones for Military and War

Drones were first created to serve military purposes during WWI. In fact, the military is the biggest user of drone technology, where it is being used to carry out various roles. Today still, various companies are exclusively working to develop drones for military and war purposes, which with time also finds their way for civilian and commercial use. Some of the biggest manufacturers of the best mini drones for military and war purposes include;

1) AeroVironment

AeroVironment comes with a long history of developing powerful mini drones for military and war purposes. The USA-based company is known for the development of mini-drones with powerful technologies including GPS technology and computer vision. The company is also attributed to developing the “Raven” drone, which is the most widely used AI-powered drone for military and war purposes.

2) Lockheed Martin

Lockheed Martin remains the spearhead of the American defense industry and the company doesn’t lag when it comes to the development of powerful drones for military and war purposes. The company has been active in the development of cutting-edge military drone series like Desert Hawk that comes with advance AI features, giving militaries the competitive advantage they need to thrive over the competitors.

3) Sheild.AI

Sheild.AI is another USA based drone manufacturer, widely successful in developing innovative mini drones for military and war purposes. The company is best known for its super-agile and robust autonomous quadrotor – Nova.

Mini Drones with Camera for Various Use Cases

Some of the use cases of mini-drones with the camera includes;

Shipping & Delivery

Retail giants like Amazon and Alibaba have already developed an entire fleet of drones with cameras to cater to their needs for parcel delivery. For this purpose, mini drones with camera and powered by GPS technology is being used to plan the route of the parcel delivery and ensure that it reached its destination safely. While this is still a relatively new avenue for drones, there’s a massive potential for businesses to exploit drones with cameras to gain a competitive edge.

Disaster Management

Mini drones with cameras are also widely used in the disaster management field, where they are used to locate people in disaster-hit areas. The capability of drones to enter into disastrous areas faster and safer make it an ideal disaster management tool for surveillance, relief, and even rescue operations.

Search and Rescue

Apart from being used in disaster management, the mini drones with cameras are also widely used by government and private agencies to carry out search and rescue operations across remote terrains. This is widely used by agencies to track lost persons in mountainside or deep in the forest. By equipping thermal sensors, mini drones can also be used for night time surveillance purposes.

Where to buy mini-drones online?

Amazon is certainly the best place to buy mini-drones online.

What kind of pictures do mini-drones take for commercial purposes?

Mini drones are able to take reconnaissance and surveillance level images for commercial purposes. Some of the more advance mini-drones may also carry thermal and infrared sensors or LiDAR sensor for commercial imaging.

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Please feel free to reach out to us, if you have any questions. In case you need any help with development, installation, integration, up-gradation and customization of your Business Solutions. We have expertise in Deep learning, Computer Vision, Predictive learning, CNN, HOG and NLP.

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Agriculture Drone Software

Agriculture Drone Software – The Technology Powering the Food Security of the Future

Agriculture Drone Software – The Technology Powering the Food Security of the Future

Muhammad Imran


October 20, 2020

The agriculture drone market is expected to reach over USD 4.8 billion in the next five years with a CAGR of over 31%. That’s one reason why tech companies and big businesses are already investing fortunes into the development and manufacturing of a new breed of agriculture drone software, which can cope with the pressing needs of the future.

Agriculture Drone Software

It is estimated that the world’s population will reach over 9 billion in the next 3 decades. That’s 2 billion more souls to share the already dwindling resources, and 2 billion more mouths to feed. At present, the agricultural produce across the world is already under stress to keep up with the ever-increasing number of people to feed and the massive increase in the coming decades will eventually lead to widespread hunger and deaths; provided we aren’t able to bring in new technologies to significantly enhance the overall productivity. 

The agriculture industry today is already moving towards new ai drones technology; embracing innovations and looking to breakthroughs that may further improve the overall process and yields. The most impactful technology to gain traction in the agriculture industry is drones. Drones have become the next “Big Thing” in the agriculture industry; opening up massive new avenues for farmers to automate traditional processes and manifolds the crop yield with robust farm management.

The agriculture drone market is expected to reach over USD 4.8 billion in the next five years with a CAGR of over 31%. That’s one reason why tech companies and big businesses are already investing fortunes into the development and manufacturing of a new breed of agriculture drone software, which can cope with the pressing needs of the future.

Start Gowing with Folio3 AI Today.

We are the Pioneers in the Agriculture Drone Software - Do you want to become a pioneer yourself ? Get In Touch

Folio3 is Your Custom Farming Agriculture Drones and Applications Partner 

Folio3 is a well-established name in the agriculture drone software industry; bringing in new and powerful technologies to assist farmers in better and robust field management. Over the past many years, Folio3 drone agriculture software solutions have made their way into various agriculture practices including terrain mapping, livestock management, and solar power management for farms. The company has been working in close collaboration with farmers in the USA to come up with AI drone agriculture software to transform and automate the traditional agricultural practices.

Some of the potential benefits offered by folio3’s drone agriculture software include;

Aerial Data Collection

Coupled with powerful imaging sensors, and cameras drone agriculture software from Folio3 enables farmers to have bird’s eye view imagery for the farm for faster and better management. Some of the imaging sensors that can be used as payloads on agriculture drones include; thermal, LiDAR, infrared, visual, and others; enabling comprehensive monitoring and evaluation of crops.

Data Analytics

To even further automate the crop health management, Folio3 AI-based drone agriculture software enables automated analysis of the imagery and delivers real-time interactive reports to farmers; enabling them to spot any crop health issues before it affects the crop yield.

Delivering Action

The automated AI-based agriculture drone software from Folio3 can be sued to pre-program drones for specific tasks like monitoring routes, terrain mapping, spraying, and others, fastening the farm management process, and reducing the cost of the agriculture practice.

Below, we have come up with some specific applications of Folio3 drone agriculture software solutions that are already enhancing the agriculture industry massively;

Folio3 Agriculture Drone Software for Terrain Mapping

The ability to capture bird eye view imagery of terrain makes drones the perfect solutions for farmers to monitor and evaluate terrain for agriculture. Folio3 terrain mapping solutions offer farmers programmable solutions to perform detailed and real-time terrain mapping of the fields to better prepare for the harvesting. 

The AI-powered algorithms from Folio3 can be used to create 3D terrain maps of the farms using point data from LiDAR. This is especially helpful to promote high-potential farming practices in mountainous terrains, by giving farmers the clear reconnaissance imagery for land preparation. Also, large farms covering hundreds and thousands of hectares can be easily mapped and managed using automated terrain mapping drones.

Folio3 Agriculture Drone Software for Solar Inspection

Another brilliant agriculture drone software solution by Folio3 that has helped hundreds of farmers across the United States is solar inspection solutions

Solar panels are being widely used by the farmers as an alternative to traditional energy. Farmers rely on these solar farms to produce the energy required to power tube wells, and other related farming activities. This isn’t just a greener approach, but also enable farmers to save fortunes in energy expenses.

Folio3 advanced integrated agriculture drone software solution enables farmers to keep up with the maintenance and management of the solar panels. The drones can be preprogrammed to conduct aerial surveillance over the solar panels and send real-time imagery for monitoring and maintenance purposes. This not only saves much time and costs compared to manual surveys but also enables farmers to identify any malfunctioned or broken panels for timely repairs or replacement.

Folio3 Agriculture Drone Software for Livestock Monitoring

Last but not least, Folio3 has also developed integrated livestock management and monitoring software solutions for the agriculture industry. The AI-powered agriculture drone software can be preprogrammed to ensure consistent and real-time surveillance and monitoring of livestock across the fields. 

What are the Advantages of Agriculture Drone Software for Startups?

While big farms have already started to adopt agriculture drones into daily farm management, small farms have been somewhat hesitant to adopt; primarily due to the upfront cost of the technology, as well as, unawareness about the potential benefits.

Below are some of the advantages of agriculture drone software for startups and small farms;

Reduces Production Costs

For startups and small farms, the production costs are always the top of the mind. While the upfront cost of the technology may be on a little higher end, the overall benefit of automating various agriculture practices like crop assessment, precision agriculture, and field scouting, significantly reduces the overall production costs.

Overcome Labor Shortages

Farms in the USA have been dealing with labor shortages for decades. Now with powerful drone agriculture software solutions, it’s possible for farms to comprehensively manage farms without much need of laborers, as drones take over various laborious tasks.

Technology is becoming Cheaper

The massive R&D activity and involvement of big tech firms like Folio3 in the industry have made a significant impact on the availability and prices of agricultural drones. Today, it’s possible for startups and small farms to adopt the technology without breaking the bank.

What are the Benefits of Agriculture Drone Software for SMEs and Enterprises?

Similar to startups and small farms, the agriculture drone software technology brings a myriad of benefits to SMEs and Enterprises including;


While previously farmers may have their suspicions towards the reliability of the technology, today the technology has matured greatly and offered consistent reliable solutions for farmers. Whether it’s for surveillance purposes or precision agriculture practice, you can rely on agriculture drone technology to deliver precise results every time.

Real-Time Insights

The key to success in agriculture today lies in the ability in real-time surveillance and monitoring of the crops to identify any crop health issues and take precautionary measures. With AI-powered programmable drone software, it is possible for farmers to keep up with consistent surveillance for crop health monitoring with real-time insights and take timely actions for higher yields and better productivity.

Drone Ecosystem Has Emerged

Drone technology today doesn’t offer discreet solutions; rather companies like Folio3 and others are offering a complete agriculture drone ecosystem that can be used as an integrated solution for complete farm management; from terrain mapping to surveillance and from harvesting and spraying to precision agriculture.

What is the Other Drone Software for the agriculture industry?

Some of the best drone Software for the agriculture industry includes;

SZ DJI Technology Co., Ltd.

Headquartered in Shenzhen, China, SZ DJI Technology is among the biggest agriculture drone software solution provider. The company is involved in the manufacturing of powerful drones, along with integrated software solutions to automate various traditional practices related to the agriculture industry. SZ DJI technology maintains a strong presence in China, the USA, Canada, Europe, Latin America, and Africa.

PrecisionHawk Inc.

PrecisionHawk is a US-based drone manufacturer founded in 2010. The company is actively involved in the development of a new generation of powerful drones along with specific software solutions for agriculture, energy, construction, and other industries. PrecisionHawk maintains its geographical presence across Latin America, North-America, Europe, and Australia.

How can drones software be used in the agriculture industry?

Some of the applications of drone software in the agriculture industry include;

Precision agriculture

Prevents infestations

Moisture Mapping

Crop health monitoring

Livestock management

Crop quality monitoring

Precision spraying, and

Seed Harvesting

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commercial drones uses

Commercial Drones Uses – Applications and Benefits for Businesses & Industries

Commercial Drones Uses - Applications and Benefits for Businesses & Industries

Muhammad Imran


October 13, 2020

Commercial drones uses are transforming the traditional legacy systems for businesses and industries paving way for intelligent AI-powered operations for increased productivity.

commercial drones uses

For most people, unmanned aerial vehicles (UAVs) or more commonly known as ai drones are either a complex military technology or an entertainment tool for hobbyists that enable them to capture breathtaking videos and footage of natural landscape, sporting events, or urban landscape. However, today the primary user of drone technology are businesses and industries that are utilizing this smart technological tool to create better and more efficient processes. The commercial use of drones goes way beyond simple surveillance or footage, rather commercial drones are transforming the industries altogether. In the Insurance Industry, the drones’ commercial use is enabling companies to inspect damaged assets for a faster and efficient process. In the agriculture industry, the drones’ commercial use is enabling farmers to manage farms efficiently and collect crucial crop data in real-time. These are only a few of the drones commercial use examples and innovators are increasingly reinforcing the capabilities of drones for commercial use across all industries and technologies.

The United States has remained the key player in the development and use of commercial drones. The overall drone industry just in the United States has grown from $40 million in 2012 to over $2 billion in 2018. It is estimated that the overall market for commercial drone stocks to buy in the United States will reach up to $46 billion in the next five years.

However, as can be expected by all new industries it is rational to expect some unexpected turns in this growth. At present, the investment in the commercial drones market is soaring with international giants and conglomerates pooling their funds for the next generation commercial drones. Air taxis for instance is one of the most promising and heavily invested technology for next-generation drones commercial use. And while the technology is still in the early stage of development, the massive potential and high acceptance in industries are already paving way for further investment and faster development of the technology. The few hurdles that may seem likely to appear as the drones commercial use technology matures over the years include regulatory approvals and lack of infrastructure. Regulatory approval will remain a key barrier as globally the governments don’t seem in a mood to rubber-stamp large drones taking unpiloted flights. Also, it will be interesting to see cities’ responses to building adequate infrastructure for takeoffs, landings, and storage of commercial drones. Nonetheless, the Machine learning technology for commercial drones is here to stay and holds much potential for the future.

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How Commercial Drones Work?

While operating drones seems nothing out of the ordinary the technology itself is quite perplexing and complex. Behind the interactive interface with a joystick, a whole lot is going with different technologies acting in synchronization to make the flight happen. Some of the key technologies that go being the working of commercial drones include:


Controlling these “flying robots” through smartphone or tablet may seem easy and fun, however, to enable this seamless connectivity, the drones are equipped with wireless connectivity that enables remote pilots to get the birds-eye view from drones. Modern-day AI-powered drones also come with pre-programmed GPS coordinates that can be utilized to design an automated flight path for the flight. Moreover, wireless connectivity also enables users to monitor battery charge in real-time.


Commercial drones rely on the rotors to control its vertical motion. The rotors found in the drones include propellers which are attached to a motor (used for the hovering), which enable drones to generate a downward thrust equal to the earth’s gravitational pull, as well as, generate greater thrust to climb up against the gravity or generate lower thrust for descend or decrease speed. For drones to hover, two out of the four rotors found in the drones move clockwise, whereas, the other two moves counterclockwise to keep the drones balanced.

Accelerometer and Altimeter

Other important components for the working of commercial drones are the accelerometer and altimeter that control the speed, direction, and altitude of the drone. These features play an important role during the drone flight, as well as, for safe landing of the drones; preventing it from a crash by sinking into the “Wash” unpredictably.


Apart from these important technical components that control the flight operations of commercial drone, another key component that adds the utility and versatility to the drones are the cameras. While most commercial drones come with a built-in camera that enables remote pilots to monitor the direct line of sight, others may allow you to integrate imaging sensors of your choice as payload. When we talk about the drones for commercial use, these aren’t just used to get the photos of remote locations or catch a great birds-eye view of the landscape, rather these are also used for industrial and commercial activities. For instance, farmers may add infrared or thermal scanner as payloads to the drones for mapping crop health and soil fertility. Similarly, night time cameras may be integrated with drones for border surveillance and other purposes.

Folio3 is Your Best Commercial Drones Tech Partner 

Folio3 is a leading technology service provider for AI-powered commercial drones. The company has been developing intelligence commercial drone technology to assist businesses and industries from different verticals. From agriculture to terrain mapping and livestock management, Folio3 intelligence AI-powered commercial drone technology is enabling industries across the globe to improve their workflow processes and increase the efficiency of legacy procedures.

The robust AI drone technology solutions from Folio3 is used for:

Aerial Data Collection

Enable businesses to deploy various types of imaging sensors including cameras, thermal sensors, LiDAR, multispectral sensors, and others to get real-time scientific data for commercial and scientific use such as ai drone solar panel inspection.

Data Analytics

Powerful machine learning, AI, and computer vision algorithms offered for faster and efficient interpretation of data to support competent commercial practices such as terrain mapping.

Delivering Action

Intelligence drones applications build to takeover tedious and time-consuming tasks like surveillance to data analytics and harvesting seeds such as livestock management.

Drones Commercial Use in this Era

Drones have come a long way from their initial concept of working as military reconnaissance tools. Today, drones for commercial use are pushing the technology to new frontiers enabling more possibilities for these flying robots to improve efficiency and processing of various industries. Below are some of the key industries and applications utilizing drones for commercial use;


Today the entertainment industry is one of the biggest users of commercial drone technology. From films to television, the industry is pushing drone technology to limits to generate stunning and breathtaking shots. Disney has already filed the patent for a drone support light system, which will be used to recreate the bright lit sky from Tangled. The recreated scene would use drones to mimic thousands of lanterns lighting the night sky. The industry also got plans to use commercial drones for aerial light displays. All of this will open up more opportunities for commercial drones in the entertainment industry.


The entertainment industry isn’t the only media-related industry that has been exploiting the benefits of commercial drones. The advertising industry is also on par with the entertainment industry when it comes to utilizing the flying robots to create some amazing and innovative advertisements. Advertisement agencies across the world are already using drones carrying promotional banners as the next big thing in the industry. Moreover, companies are using drones to airdrop promotional merchandise in concerts or other public events. And this is only just the beginning.

With powerful AI drones, the technology can be used to project commercials or images across courtyards, or sidewalks as an affordable and greener alternative to spot advertising. The technology can also be used by restaurants and hotels to flow out product samples to passerby on the streets.

Emergency Response

Apart from the entertainment and media industry, commercial drones are also being used excessively as emergency responders. As the technology matures and large commercial drones become readily available in the market, it is becoming possible for emergency and rescue workers to send in drones as emergency responders with first aid kits or other humanitarian services. Government agencies across the world have deployed AI-powered commercial drones in various rescue roles including searching for survivors from natural disasters to disbursing emergency goods to people stuck in disaster-hit areas. The latest Defibrillator drones today are enabling medical emergency responders to reach out faster to victims of heath attacks and save precious lives. Overall, the use of commercial technology as the emergency responders are improving the chances of survival for the victims, without putting the first responders at risk.


Moving on, next in line we have the agriculture industry as one of the big users of commercial drones. The industry has been utilizing drones for various purposes from reconnaissance surveys for field monitoring t/99o crop health monitoring and now also experimenting with commercial use of drones for seeding and spraying. Commercial drone technology is been projected as the next big thing in the agriculture industry that is crucial to keep up with the increasing demand for food to feed the ever-increasing global population.


Last but not least we have one of the latest avenues for which the feasibility and viability of commercial drones are still tested. Tech giants like Amazon have already deployed drone fleet for faster and more efficient delivery of orders in the United States, and while this is still a relatively new role for commercial drones, the speed at which it is being adopted in the industry says a lot for the promising future of commercial drones in this sector as well.

History of Drones for Commercial Use

While the history of drones itself is quite old and maybe dated back to World War 1, where they were first used as military tools meant to capture crucial information behind the enemy lines. The commercial use of the drones didn’t start till 2006, the year when the Federal Aviation Administration issued the first commercial license for drones.

Initially, the commercial drones were tested for their capabilities in disaster and rescue operations or border surveillance, however, slowly but surely these flying robots proved their worth as the futuristic technology that will define the modern-day business and industrial practices.

7 best Commercial Drones with Cameras

1) DJI Mavic 2 Pro

Camera: 20MP, 4K

Battery Life: 31 Minutes

Potential Industry Use: Film making, Construction, Marketing

The DJI Mavic 2 Pro is the latest generation of camera drones from DJI – a leading manufacturer of commercial drones. The Swedish manufacturer is known for its exceptional quality professional-grade camera drones. This particular flying machine comes with a 20MP camera with advanced HDR and color sensitivity.

Another brilliant feature of this drone is its omnidirectional obstacle sensing capability that enables it to sense obstacles from five directions (right, left, backward, forward, and downward), making it the perfect tool for use in various industries including; marketing, construction, and filmmaking.

2) DJI Phantom 4 RTK

Camera: 20MP, 4K

Battery Life: 30 minutes

Potential Industry use: Construction, GIS surveying

Next in line we have yet another entry from the DJI, this time around with its DJI Phantom 4 RTK visionary drone. The RTK capability of the drone enables it to create a real-time aerial mapping, which opens up a whole lot of new commercial uses for the drone. The drone comes with a brilliant 20MP camera with a CMOS sensor, for capturing high-quality images.

Another unique feature of this flying machine is the DJI GS RTK app, which enables users to program the drone for an intelligent flight with terrain awareness, waypoint flight, and 2D & 3D photogrammetry for professional aerial mapping.

3) DJI Inspire 2

Camera: Compatible with multiple cameras from Zenmuse

Battery Life: up to 27 minutes

Potential Industry Use: Filmmaking

This inspiring flying machine from DJI is specifically meant for filmmakers and cinematographers, looking to create stunning Hollywood camera quality films with limited resources. The drone is equipped with smart sensors and made with premium materials and an aesthetically pleasing design; making it an ideal platform for cinematography. The magnesium-aluminum construction and carbon fiber arms of the drones enable it to offer an unmatched 360-degree view.

4) Freefly Alta 8

Potential Industry Use: Filmmaking 

The next in line for our top commercial drones is an amazing machine that is specifically meant to offer unparalleled cinematography experience for filmmakers and video enthusiasts. This amazing piece of technology is a marvel in its ability to carry as much as a 20-pounds payload, which can be mounted either on top or at the bottom. The octo-rotor drone comes with a weather-resistant plastic enclosure makes it the perfect choice amongst cinematographers looking to film amazing shots in a multitude of climates.

5) Flyabilty Elios 2

Camera: 12 MP

Battery Life: 10 minutes

Potential Industry Use: Indoor Inspections

Flyability is an engineering marvel that transformed the way drones are used for indoor inspections. The drone comes with amazing configurations that include a spherical cage encaging the entire payload while keeping the overall dimensions under 40cms, which can be fit in any space. The powerful transmission system of the drone is able to work seamlessly beyond the line of sight, which enables it to operate without any interference from concrete walls, steel structures, or other obstacles.

6) DJI Agras MG-1

Battery Life: 24 minutes

Potential Industry Use: Agriculture

Next, we have yet another amazing drone from DJI; this time the octocopter DJI Agras MG-1. This is an exclusively manufactured drone for precision agriculture, which enables farmers to automate various traditional practices like spraying pesticides or fertilizers. The robust and powerful propulsion system of the drone enables it to complete the task up to 60 times faster than manual spraying, with a liquid holding capacity of up to 10 Kgs. The smart spraying mechanism can be controlled remotely to adjust the dispersed liquid based on the speed of the drone, to ensure even application every time.

7) SenseFly eBee Classic

Camera: 20MP

Battery Life: 50 minutes

Potential Industry use: GIS & Surveying

This is a fully-autonomous fixed-wing drone that is meant to capture high-quality aerial imagery for land surveying and 3D terrain modeling. The flight path can be preprogrammed and no prior piloting skills are required to operate the flight. The fixed-wing configuration makes it highly aerodynamic and ideal for use in aerial surveying of large areas.

Large Commercial Use of Drones Benefits and Advantages

Large commercial drones have transformed various industries; enabling faster and efficient workflow processes and operations for increased efficiency. Some of the benefits of commercial drones include:

Environment friendly


Access to remote places

Efficient and faster processes for business growth


Who makes drones for commercial use in enterprises and SMEs?

Some of the biggest manufacturers of commercial drones include;

Lockheed Martin

DJI (Dajiang) Innovations



3D Robotics 


Parrot SA 


Autel Robotics


Why commercial drones are bad for a beginner?

Commercial drones are relatively expensive as compared to small hobbyist drones, which cost at an average from $10,000 to $25,000 or more. These are exclusively built for specific applications and may require prior piloting skills for effective use. Any fault in piloting these drones may lead to damage to drones which in most cases will leave it unusable.

Start Gowing with Folio3 AI Today.

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Please feel free to reach out to us, if you have any questions. In case you need any help with development, installation, integration, up-gradation and customization of your Business Solutions. We have expertise in Deep learning, Computer Vision, Predictive learning, CNN, HOG and NLP.

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drones in agriculture and farming

Drones in Agriculture – Best Drone Applications in Agriculture and Farming

Drones in Agriculture - Best Drone Applications in Agriculture and Farming

Muhammad Imran


October 6, 2020

Drones in agriculture are opening up new possibilities to increase their crop yield with better farming applications and real time access to information.

drones in agriculture and farming

Unmanned aerial vehicles (UAVs) or Drones have been used extensively in the commercial industry for the past many decades. The earliest commercial use of the ai drone technology may be traced back to the early 1980s, however, it is only in the past two decades that the practical applications of drones have expanded considerably. Owing to the advancement in technology, especially in futuristic technologies like artificial intelligence (AI), machine learning (ML), and others, today drones are widely used across various industries; enabling faster, better, and more cost-effective operations of various industries.

Today, the total value of the drone technology used across all industries including commercial and public applications amounts to nearly $ 150 billion, which is expected to continue increasing in foreseeable future. Agriculture is one of the top industries among the various others where drones will continue to increase its application. Drones in agriculture can help in overcoming various persistent challenges while enabling better agriculture practices to address future challenges as well. Farming drones are seen as the next futuristic technology that will be crucial to feed the growing population, which is expected to reach 9 billion by 2050, increasing the demand for food by over 70% for the same period. Moreover, drones in agriculture will also be crucial to fighting against the extreme weather events which are constantly wreaking havoc for the farmers and creating food security situations across many regions in the world.

It is imperative for farmers across the world to embrace the drones in agriculture and exploit its potential to improve their agricultural practices, as well as, to increase food production. Here in this blog, we will be looking at everything you want to know about farming drones and how they are changing the face of the agricultural industry for the good.

Folio3 is Your custom Farming Agriculture Drones and Applications Partner

Folio3 is one of the top tech companies manufacturing high-end farming drones for the agricultural sector. The company has been assisting farmers across various countries with its AI-backed drone technology to improve agricultural practices.

By unlocking the potential of aerial data using AI-powered drones, the company enable farmers to;

-         Collect Aerial Data

Farmers can integrate various payloads on the drones including thermal, visual, LiDAR, or other sensors for complete monitoring and assessment of crops

-         Data Analytics

The company offers custom-made AI algorithms that can be used to analyze and interpret the data collected from the drones, so farmers are able to get real-time results in form of interactive reports

-         Delivering Action

The AI-powered drones by Folio3 can be programmed to performed tasks independently, thereby, significantly reducing the manual interventions required for farm management.

What are some Commercial Applications of Drone Technology in Agriculture and Farming?

There are plenty of drones applications in the agriculture industry. In fact, drones and agriculture are seen as the perfect match of how technology can revolutionize the traditional industries, making them better, more efficient, and productive for the collective benefit of humanity.

Below, we have come up with some widely used drones applications in the agriculture industry.

1) Terrain Mapping

Drones with their inherent capability to survey vast tracts of lands are perfect tools to perform terrain mapping. Today, companies like Folio3 are manufacturing AI drones that are programmable to perform various tasks including terrain mapping for better management of the agricultural industry.

Modern-day drones equipped with LiDAR and other sensors are used by farmers to map the terrain across vast swaths of lands as a reconnaissance tool for land preparations. The advanced computer vision capabilities of drones enable them to accurately map the terrain and offer real-time feedback to farmers for efficient planning and management of fields.

2) Solar Panel Inspection

Farms across the world are switching to renewable energy sources like solar panels to meet their energy needs. By installing large solar farms for agricultural practices, farmers not only ensure a consistent power supply but also significantly reduce the energy expenses.

AI-powered drones can be used to significantly reduce the time and cost required for inspection of solar panels . The farming drones can be used for regular monitoring of the solar panels and assess any potential defects in the grid before it jeopardizes the entire system.

Companies like Folio3 have been designing advanced drones with various imaging payloads including thermal and infrared imaging sensors to help farmers easily supervise solar panel maintenance and identifies any potential defects like diode failure or shattered panels quickly.

3) Livestock Monitoring

The drones in the agriculture industry are also widely used by farmers for effective livestock management. AI-backed programmable drones are perfect tools to automate the monitoring of livestock at the fraction of the cost.

These drones can be used to keep track of the livestock, as well as, to identify any injured or missing livestock. It can also be used to identify pastures across vast swaths of lands and can be pre-programmed to continue tracking the livestock across the pasture.

4) Soil and Field Analysis

Drones are great tools to access insightful data for the quality of the soil at the beginning or end of a crop cycle. AI drones equipped with LiDAR can be used to create 3D maps of the soil to be able to understand any issues with the quality of the soil including the nutrients or any dead zone.

All of this information can be pretty useful to determine the most effective planting patterns, as well as, improved crop management. Drones can also be sued to identify and monitor water resources more effectively across the fields.

5) Seed Planting

Seed planting using drone technology is a relatively new technology as compared to other drones applications in agriculture. However, startup companies have been testing the technology for faster and more effective seed plantations.

Some farming drone manufacturing companies are also testing the payload efficiency of drones in form of tree seeds, fertilizers, water, and herbicide to assess the cost-effectiveness of the technology. Once it gets passed the testing phase, drones would further strengthen the effectiveness and efficiency of the agriculture industry by making it much easier to plant seeds and deliver other required elements to the soil.

6) Crop Spraying

Another area of drones application in the agriculture industry includes crop spraying. Traditionally, farmers are required to spray the entire fields manually with vehicles or at times some farmers also used airplanes for the purpose. However, both of these methods are either too slow or too expensive for the liking of modern-day farming.

Today, smart drones approved by FAA can take huge reservoirs of fertilizers or pesticides as payload for efficient spraying across the field. In fact, AI drones can be programmed for spot spraying as well, making it much safer and cost-effective for farmers to manage the crop yields and stop pest infestation in crops.

7) Crop Mapping and Surveying

Another vital drone application in the agriculture sector is the use of the technology in monitoring of crops across vast swaths of fields. Traditionally this has to be performed by farmers manually which takes forever and is highly inefficient. More recently tech companies have been using satellite or airborne imagery to survey and map the crop fields, which again comes with high costs.

Lately, AI-powered drones have taken over the survey and mapping aspect of farming, making it possible for farmers to keep a close check on the crop efficiently in real-time.

8) Irrigation Monitoring

Another traditionally troublesome area for farmers has been monitoring and management of irrigation. With several miles long irrigation network, there’s always a possibility of issues arising.

Today, drones equipped with thermal imaging systems are effectively used to monitor the entire irrigation network efficiently and spot any issues in real-time. With access to real-time information through drones, farmers are in a better position to maximize the drainage and prepare contingency plans to cope with issues.

9) Health assessment: 

Lastly, drones are effectively used to monitor crop health. Drones equipped with infrared and thermal sensors are widely used to get real-time imagery for analysis of crop health.

Companies like Folio3 offer customized crop health monitoring software that can be used to instantly assess the chlorophyll content, as well as, estimate soil fertility through crop imagery in the infrared and thermal region of the electromagnetic spectrum.

Drones in Agriculture Market and Trends

Drones in agriculture are known to achieve precision agriculture, which is something that the scientific community is after in order to get prepared for the massive increase in the population in the coming decades.

The precision agriculture takes into account detailed observation and measurement at each and every step of crop farming and livestock data to keep farmers updated with the status of the crop and help them take precautionary measures to save crops from potential damage. The technique also enables farmers to greatly reduce the requirement of manual labor by bringing in a more organized and integrated farming approach, resulting in increased yields through more efficient and effective management of crop farming.

The rapid advancement of drone technology has also resulted in a significant decrease in the cost of drones in agriculture, which again improves the capacity of farmers to integrate the technology into their farming practices for higher yields and better management of crops.

drone applications in agriculture and farming


According to stats, the total value of drones application in the agriculture market will increase up to 40% in the coming years, owing to a consistently growing population, unreliable weather patterns, and a massive demand for food in the market.

Some of the various drones application in agriculture industry includes;

Crop monitoring

- Detecting weeds

- Managing livestock

- Crop health assessment and many more

Modern-day drones are integrated with AI technologies along with strong imagery sensors (Camera and infrared sensors) and GPS navigation systems that enable them to perform various agriculture-related tasks for better and efficient farming practices.

Drones Application in Farming & Agriculture - Advantages and Disadvantages

Just like all technologies, farming drones also comes with its advantages and disadvantages. Below we will be looking at some of the pros and cons of the technology:

-         Efficient Agriculture Practice

Drones technology has proven to be the revolutionizing technology for the agricultural sector, automating the various labor-intensive processes and creating more efficient agricultural practices. All of this leads to better crop management, as well as, more yield to meet future needs.

-         Prevents Infestation

By automating the crop spraying with real-time monitoring capabilities, drone technology in the application has greatly reduced the infestation rates and improved the yield estimation of crops.

-         Moisture Monitoring

Moisture monitoring is important in agriculture to ensure the health of the crops. Drones can help in mapping the entire fields for estimating the moisture content of the soil for better and efficient field management.

-         Analyzes Crop Quality

Modern-day drones are powerful to carry various imaging systems including infrared and thermal imaging systems which can be used to evaluate crop quality for nutrient and chlorophyll content.

-         Legal Restriction

All drones between 0.55lbs and 55lbs required mandatory registration with the Federal Aviation Administration (FAA). FAA also holds the authority to dictate any use of drones in commercial or private spaces. Thus farmers need to have a complete understanding of the rules and regulations, which can be too complicated for many farmers.

-         Flight Route Limitations

Drones also have a limited flight route permitted by the authorities, which has to be followed by all drones. Also, there are various restricted zones where drones can’t be used like near airport terminals.

-         Knowledge limitations

Most of the farmers aren’t well-versed with the technical aspects of drones and struggle to operate drones. Farmers need to get educated about the features and functions of the drones to operate it with complete potential.

-         Expensive

While the overall cost of drone technology has considerably reduced over the past decade, it is still much higher for the liking of most farmers. On average farming, drones may cost anywhere from $10,000 to $20,000, which is much expensive for farmers to pay upfront.


How are drones used in agriculture for small farmers?

Drones can be utilized in small farms to map out pre-plating patterns, which enable farmers to maximizer the utilization of the area for plantation of crops. The farmers can also strategize preferred planting pattern for individual crops using drones, which significantly reduce the time to map out the plantation pattern on foot.

How long have drones been around in agriculture and farming?

While the drones have been around for nearly a century (may be not in its current form), the use of drones in agriculture may be traced by to a decade in early 2010s, when the drones were first used to get real-time imagery of farms.

What is the range of cost of drones in agriculture and farming?

The price of agriculture drones may vary greatly depending upon the type, complexity and use of the system. Nonetheless, on average agriculture drones may range between $2000 to over $25000.

Start Gowing with Folio3 AI Today.

We are the Pioneers in the Cognitive Arena - Do you want to become a pioneer yourself ?
Get In Touch

Please feel free to reach out to us, if you have any questions. In case you need any help with development, installation, integration, up-gradation and customization of your Business Solutions. We have expertise in Deep learning, Computer Vision, Predictive learning, CNN, HOG and NLP.

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ai military drones

7 Best AI Military Drones Manufacturers and Companies

7 Best AI Military Drones Manufacturers and Companies

Muhammad Imran


September 29, 2020

Explore working and benefits of AI military drones, while also looking at some of the biggest manufacturers of AI drones military equipments.

ai military drones

The use of ai military drones technology has been increasing in today’s complex geopolitical environment. While the USA maintains its position as one of the biggest manufacturers and users of military drones across the world, many other countries have resorted to reinforce their drone manufacturing capabilities to meet the geopolitical requirement of their region.

While ai drones technology has been around for some time, the integration of Artificial Intelligence with the drones have further improved the capabilities of the drones; giving rise to the AI military drones that today essentially make up the most crucial component of air superiority for any country. The use of AI military drones enables countries to greatly express their technical and military prowess into geographically distant and remote areas, without having to worry about human casualties.

Here in this blog, we will be looking at the working and benefits of AI drones military, while also looking at some of the biggest manufacturers of AI drones military in the world.

7 Best Ai Military Drones Companies


1) AeroVironment

AeroVironment is a USA based company that manufactures AI-powered UAVs, capable of flying autonomously along any route using computer vision and GPS coordination. The GPS technology integrated into the drones powers the aerial route of the machine. Raven is one of the most widely used AI military drones manufactured by the company, which according to the official statements from the company is the single most widely used UAV in the world.

2) Lockheed Martin

Lockheed Martin is no stranger when it comes to developing high-tech military machines for the USA. The company is also actively producing some of the very best and hi-end AI military drones including Desert Hawk III, which is a direct competitor to AeroVironment’s Raven Series. The Desert Hawk III from Lockheed Marting is able to be programmed for its flightpath well in advance, as well as, has the capability to train new operators for the field operations.

3) Sheild.AI

Sheild.AI is yet another American AI drone manufacturer that is best known for its autonomous quadrotor – Nova. The quadrotor used four propeller turbines and is programmed to run the company’s licensed Hivemind software. According to the company, its software is able to assist military operators operate large swaths of GPS-denies areas like caves and interior of the buildings.

4) Neurala Brain

Neurala is an American software company that has designed the Neurala Brain. According to the company, the software can be used in military drones equipped with imagery sensors to identify military targets and send alert notifications to human operators. According to Neurala, its software is capable of identifying predetermined targets through the crowd, as well as, inspect large equipment for damage assessment.

5) Airobotics

Airobotics is an Israel based company that is also one of the leading companies to develop fully automated AI-powered drones. The drones developed by the company are ideal for surveillance and monitoring of large swaths of lands. The drones from Airobotics can be programmed to fly over a certain path in a fixed interval for monitoring and surveillance purposes.

6) Percepto

Percepto is yet another Israeli company that’s a direct competitor to Airobotics. The company’s flagship Sparrow I drone is a fully AI-powered drone that is capable of operations under harsh climate including snow, dust, and rains. The drone is programmed with real-time machine vision and AI technology that makes it ideal to collect data in real-time.

7) Urban Aeronautics

Lastly, we have yet another drone manufacturer from Israel, which comes with a specific military purpose of transporting injured soldiers. The drone is capable of vertical take-off and landing with the capacity to carry up to 1,400 pounds of cargo. The Urban Aeronautics’ Cormorant drone can fly at a top speed of 100 milers/our and can lift maximum cargo to 30 miles.

How AI Military Drones Work?

When we talk about AI drones military, we refer to the machine capable of flying and performing specific military assignments without any human operator. Now, the design, capabilities, and functions of AI military drones may vary greatly from one another, however, in general, these are autonomous flying machines programmed to carry out specific military roles.

Integrating artificial intelligence with drone technology is achieved by combining various navigational, machine vision, and mechanical devices. And as with any other use of AI technology, the AI algorithms driving the drones need to be trained before they are able to perform specific duties.

To train the AI algorithms behind the AI military drones, these drones are initially supervised by human operators, who operate the drones to collect spatial and visual data using different sensors onboard (camera, LIDAR, etc.). Once the imagery is collected by the drones, the objects in the imagery are labeled like mountains, streets, Cliffside, cars, etc. This labeled data serves as training input for the machine learning algorithms, which in the future will be operating the drones.

By running the training data on machine learning algorithms, the program is able to distinguish between different objects that may be found within their field of vision. The algorithms used in powering the AI military drones also correlates the instances of turns or stops which might be captured in the sensor’s field of vision, this is necessary to train the drone about stopping or turning in different instances in the battlefield.

Another essential technology behind autonomous AI drones military is the GPS technology that enables easy tracking of the drone’s flight path, as well as, enable self-operations of the drone in different battlefields.

What are The Benefits/Advantages of Ai Military Drones?

The use of artificial intelligence with drone technology for military purposes is a relatively new field that has gained much prominence in recent years. However, as with the other fields, by integrating the artificial intelligence technology, manufacturers are able to significantly improve the dynamics, operational preciseness, and effectiveness of drone technology in the military role.

Today, the AI-powered military drones enable military operators to engage their skillsets in much more pressing battlefield operations without having to worry about drones operations. For instance, an AI-powered drone can be assigned to monitory the territory which has just been cleared in combat. This would leave soldiers with plenty of time to regather their strength and concentrate on future military actions, without having to worry about surveillance to negate enemy reinforcements in the area. Interestingly, AI military roles in the majority of the roles do not act as a weapon of aggression, rather it is being used as assistance, reinforcements, and surveillance machine in the battlefields.

Some of the other benefits of AI military drones include:

- Surveillance

- Reconnaissance

- Situational awareness

- Battle Damage Assessment

- Weapon Delivery


These are just some of the various applications and case studies of drone technology in the modern world. It won’t be an exaggeration to say that drones have revolutionized the ways humans have interacted with their environment. Today, the integration of powerful technologies like artificial intelligence, machine learning, computer vision, and others are opening up a whole new world of applications for the drone technology, making them a highly potent tool not just for government agencies, or researchers but also for businesses; helping them to boost their efficiency and remain competitive in the industry.

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drone applications

15 Drone Applications And Use Cases in 2020

15 Drone Applications and Use Cases in 2020

Muhammad Imran


September 29, 2020

We have come up with some of the more popular drone applications and use cases in the real world. Explore the new age technology and its impact on businesses.

drone applications

In a short time ai drones have become an indispensable technology feat that is used widely in various applications. What started as hot air balloons for reconnaissance for the military purpose has grown to become a behemoth technological feat that is used for the betterment of mankind. Today, drones are used globally across various applications from wildlife conservation to emergency response, insurance to mapping, and from disease control to delivery services. 

The unique character and ability of drones to safely access remote inaccessible regions for information gathering or delivery open up a whole new world of possibilities for mankind to use drones. With the advancement of the technology, today drones integrated with machine learning solutions are capable of precisely map natural features, as well as, perform reconnaissance and border surveillance as well. Modern-day drones are also increasingly to monitor the ecologically fragile areas and keep it safe from human trespassing. 

The massive popularity of drones predicted by the fact that the global unmanned aerial vehicles (UAVs) or drones are expected to reach over 125 billion dollars in the next few years. Here in this blog, we have come up with some of the more popular applications and use cases of drones in 2020.

15 Drone Applications and Use Cases in 2020


1) Agricultural Application

Agriculture is yet another important application of the technology, where drones are offering farmers affordable and effective methods to monitor crops. Drones equipped with infrared sensors are especially helpful to monitor crop health, giving farmers faster and reliable information to take precautionary measures to improve the crop conditions and yield. According to estimates, drone technology will cover 80% of the agriculture industry in the coming few years.

2) Terrain Mapping

Scientists and researchers are using drones fitted with LIDAR sensors and 3D cameras to capture 3D imagery of terrains for terrain mapping. The AI-powered drones are pre-programmed to fly over a defined course without any need for human intervention. The drone can either store recording onboard or sent live video/images to the ground stations for further processes. This application of the drone is especially useful to create powerful and precise Digital Elevation Models (DEM) of terrains, which subsequently is used in a variety of scientific researches including remote sensing and GIS.

3) Livestock Management

Apart from agricultural management, drones are now being used for livestock management as well. The AI-powered drones can be pre-programmed to monitor and track livestock in the fields, giving ranchers real-time aerial view of the livestock for better management and monitoring of livestock. Thermal sensors equipped drones are also used for nighttime surveillance of livestock and identification of any issues in real-time.

4) Solar Panel Inspection

Solar energy has become an important renewable sector that has seen meteoric growth and development in recent years. Countries across the world have developed massive solar energy parks to generate clean and renewable energy. AI drones solar panel inspection equipped with multiple sensors and image detectors offer authorities with reliable, consistent, and affordable technology to inspect the solar panels and identify any potential issues that may compromise the efficiency of the solar parks. The AI drones not only offer a great consistent solution for monitoring of solar parks, but they are also much affordable and reliable as compared to manual checking.

5) Aerial Photography

Aerial photography represents one of the first applications of drones. The predecessor of drones (air balloons) was used during WW1 by various countries as reconnaissance tools for information gathering of enemy positions. Today, drones are widely used to capture footage of remote and inaccessible areas, as a much cheaper alternative to helicopters. From individual Vloggers to Hollywood production houses, drones are used across the world as the most potent, versatile, and affordable tool to capture stunning aerial photography. Even many news agencies are also using drones for collecting first-hand information and live broadcasts.

6) Shipping & Delivery

While shipping and delivering is still a relatively new application of drone technology, it’s one that is being taken up by some of the biggest names in the tech industry including; Amazon and DHL. The technology is enabling delivery companies to fasten their delivery system and offer better, faster services to customers by taking to the skies. Amazon especially is taking the drone technology to the next level by integrating the AI positioning system to deliver same day parcels to customers.

7) Geographic Locations

Professional and government agencies are increasingly turning to drone technology to access high-definition imagery of remote locations like rugged mountains and inaccessible mountaintops, islands, and coastlines. Modern drones are capable of carrying various imagery sensors, which may even be used to create 3D maps of the geographic locations or contribute towards the crowd-sourced mapping.

8) Disaster Management

Disaster management is also one of the important and more widely used technology tools that have been adapted around the world. The unique ability of drones to access disaster struck areas faster and safety makes it the most potent and affordable tool to gather information from ground-zero and make relief operations plans. With special sensors, cameras, and radars, drones can assist rescue workers to get the complete picture for the level of disaster and make any relief and rescue plans accordingly.

9) Search and Rescue

The thermal sensors onboard enable drones to become potent tools for nighttime surveillance. Drones can be used to track lost persons across forests, mountains, and rugged terrains, whereas, they can be equipped with infrared and thermal sensors for equal effectivity day and night. Many modern drones are capable of operating in harsh conditions, as well, making them effective search and rescue tools. Apart from their role in search of lost persons, drones can also be used to airdrop essential supplies to disaster-struck or war-torn areas. For instance, drones can be loaded with GPS locator, food supplies, medicines, and other essential supplies to help stuck people survive until the help arrive.

10) Weather Forecast

A recent trend in drone technology is the development of special drones for weather monitoring and forecast. Weather and Climate agencies across the world are utilizing drones to monitor and track hazardous weather patterns like hurricanes, low-pressure systems over oceans, and other weather events to receive first-hand information about the magnitude, behaviour, and trajectory of the event and disseminate it with the local people.

11) Wildlife Monitoring

In Africa, drones have been used for quite some time as a deterrent to poachers. The unique ability of drones to keep surveillance over large areas consistently across all weather makes them ideal technology feat to monitor wildlife in deep forests or massive grasslands. Apart from acting as a deterrent against poachers, drones are also used by scientists to track endangered animals, as well as, study their behaviour and habitat.

12) Law Enforcement

Drones are widely used by law enforcement agencies to maintain law and order situations. The applicability of drones becomes even more crucial during protests where the technology enables law enforcement agencies to closely and consistently monitor the situation of protest and spot any unlawful event before it spiraled out of control. Apart from its application in maintaining law and order in cities, drones are also used by border management agencies to track smugglers and illegal transportation of drugs through remote inaccessible areas or coastlines.

13) Entertainment

Drones are increasingly used in the entertainment industry including concerts, fight-clubs and even to capture videos and footage for videos. The AI-powered drones enable the unique ability for singers and Vloggers to capture the stunning beauty of the landscape or make uniquely angled videos for entertainment purposes. More recently, drones are also being used in fight clubs where two drones fight alongside with their contenders.

14) Military Reconnaissance Uses

The military was the first user of drone technology where it was used to gather crucial enemy information from the battleground. The technology today has only boosted its efficiency in terms of gathering crucial information not just from the battlefield but during peaceful times as well. Today, powerful drones flying thousands of miles above the sky and equipped with the most powerful imaging tools can gather complete information about the enemy’s military presence inside its territory. Small quadcopters are also routinely used for border reconnaissance to get real-time information about the forward posts of enemies.

15) Military Combat Uses

Apart from its role in reconnaissance surveys, the technology is also used in active combat roles. The United States as the largest manufacturer and user of military drones has been using the technology for decades to fight combats in dangerous and hostile situations, ensuring the safety of the troops, while eliminating the enemy targets remotely.


These are just some of the various applications and case studies of drone technology in the modern world. It won’t be an exaggeration to say that drones have revolutionized the ways humans have interacted with their environment. Today, the integration of powerful technologies like artificial intelligence, machine learning, computer vision, and others are opening up a whole new world of applications for the drone technology, making them a highly potent tool not just for government agencies, or researchers but also for businesses; helping them to boost their efficiency and remain competitive in the industry.

Start Gowing with Folio3 AI Today.

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Please feel free to reach out to us, if you have any questions. In case you need any help with development, installation, integration, up-gradation and customization of your Business Solutions. We have expertise in Deep learning, Computer Vision, Predictive learning, CNN, HOG and NLP.

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