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Agriculture Assistance Drone

By Ansh Hiranandani

  • September 10, 2024
  • 4:38 am
  • Blog, Science Fair
Document
Hey everyone! I’m thrilled to share the incredible journey of my high school project aimed at making a real impact on the lives of struggling farmers in rural India. Join me as I take you through the inspiration, challenges, and success of utilizing drone technology and computer vision to help farmers find fertile land.
February, 21 2024
Mokhada, Maharashtra
It all started with the heartbreaking realization that rural farmers in India were losing their cultivable land, pushing them into overcrowded cities like Mumbai. This compelled me to find a solution that would allow farmers to continue their way of life. Research revealed that between 100-150 million farmers in India rely on agriculture, emphasizing the urgency of finding a sustainable solution. Determined to make a difference, I immersed myself in research, aiming to create an automated system that could identify cultivable land and notify farmers. The goal was clear – to empower farmers with the information they needed to thrive in their agricultural pursuits.
March, 3 2024
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During the summer between my 9th and 10th grade, I had the incredible opportunity to visit India, my family’s homeland. Witnessing the challenges faced by rural farmers firsthand was a transformative experience. As I traveled through various regions, including Mokhada in Maharashtra, the stark reality of farmers losing their cultivable land became evident. These eye-opening encounters fueled my determination to get involved. It was not just a project anymore; it became a personal mission to leverage technology for positive change. The time in India ignited a passion within me to contribute to the well-being of the communities I had connected with on a personal level.

This experience served as the catalyst that propelled me to embark on the drone project, aiming to empower farmers and provide them with the tools they needed to thrive in their agricultural endeavors. The project found a powerful ally in the Raah Foundation, a Non-Governmental, Non-Profit organization affiliated with the United Nations (https://www.raahfoundation.org/). Together, we connected with farmers in Mokhada, Maharashtra, gathering invaluable insights that would shape the project and cater specifically to their needs. Imagine a drone taking off, capturing images of farmland, and using computer vision to highlight cultivable land. That was the vision. The drone’s pre-planned flight path aimed to provide farmers with actionable information to improve their yield and make informed decisions. As we conclude this first chapter, the journey from realization to action has been inspiring and transformative. What started as a heartfelt response to the challenges faced by farmers in rural India has evolved into a mission to empower them with drone technology.

March, 10 2024
Welcome back to the ongoing saga of my high school project aimed at making a real impact on the lives of struggling farmers in rural India. During my travels in India, especially in regions like Mokhada, Maharashtra, I had the privilege of engaging with farmers on a personal level. Throughout our interactions, their resilience in the face of adversity was both inspiring and heart-wrenching. The struggles they face are multifaceted – from unpredictable weather conditions and water scarcity to the challenge of identifying cultivable land for efficient farming. Upon my return home, a meeting was organized. On a bright Saturday morning, my screen lit up with faces that would shape the next phase of this project. There were the founders of the Raah Foundation, whose dedication to rural upliftment has been nothing short of inspirational. Alongside them, a farmer from Mokhada, whose earth-stained hands were a testament to his hard work, and his hopeful eyes reflected the desire for change. The farmer, speaking in his native tongue, shared the intricacies of his daily struggles. With the help of a translator, his words painted a vivid picture of the uncertainties of rainfall, the complexities of soil health, and the gamble of crop selection. His insights provided a grounded perspective on the challenges that technology aims to solve. It was a powerful reminder that at the heart of this project are real people with real needs. This meeting wasn’t just about sharing ideas; it was about weaving a network of collaboration and support.
March, 21 2024
To continue the discussion, the founders of the Raah Foundation shared their vision of integrating technology into farming practices. They spoke of the potential to transform agriculture in rural India, where the majority still rely on ancestral knowledge and conventional methods. The conversation turned to the specifics of the drone project, discussing how aerial imagery and computer vision could revolutionize the way farmers identify fertile land. The enthusiasm was palpable, as the potential impact of such technology could mean the difference between a year of prosperity and a year of hardship.
March, 27 2024
In this post, let’s dive deeper into the complexities of the problem, exploring the challenges faced by farmers and why a technological solution is so crucial. The struggles farmers face are multifaceted – from unpredictable weather conditions and water scarcity to the challenge of identifying cultivable land. Many farmers find themselves trapped in a vicious cycle. Uncertain weather patterns, exacerbated by climate change, can lead to crop failures. Without proper tools and resources, they struggle to identify suitable land for cultivation. As a result, some are forced to migrate to urban areas, leaving behind the very livelihood that sustained their families for generations.
April, 7 2024
In rural areas, the need for more access to advanced technology further compounds the challenges. Traditional methods of identifying fertile land often rely on visual inspection and experience, leaving room for inaccuracies. This information gap can be a significant barrier to optimizing agricultural practices and maximizing yield. Enter the intersection of technology and agriculture. Drones equipped with computer vision have the potential to revolutionize farming practices. The ability to capture high-resolution images and process them using advanced algorithms can precisely identify cultivable land, providing farmers with accurate and actionable information.
April, 21 2024
I had always been interested in drones but needed to learn how to build them from scratch. That curiosity, coupled with the ambition to delve deeper into the world of technology, led me to the next phase of my project: learning the art of building drones. The desire to understand the intricate details of drone construction took center stage. This meant diving headfirst into the complexities of aeronautics, electronics, and engineering. The goal was not just to utilize drones but to comprehend the very essence of their structure. Enter Stav, an aerospace engineering student at Purdue University and a mentor who became an invaluable guide on this journey. His expertise not only illuminated the technical aspects but also provided practical insights into the intricacies of building drones. Under Stav’s mentorship, I explored the fundamentals of drone design, from selecting the right materials to understanding aerodynamics. The process was not without its challenges, but each obstacle became a stepping stone towards a deeper understanding of the technology.
May,12 2024

To begin the build, potential solutions were brainstormed:

Intelligent Drone:

An intelligent drone will perform a sweep over a parcel of farmland, and use its camera to take images during the sweep. A computer vision algorithm will be applied to the images to determine where fertile land (if any) is.

Algorithms Using Satellite Imagery:

An algorithm will be applied to pre-existing satellite imagery of a parcel of farmland to determine where any fertile land (if any) is.

Ground Vehicle With Sensors:

A ground vehicle will drive over land and use sensors at different points to collect information. The information will be used to determine whether the land around that point is fertile.

The “Intelligent Drone” solution was chosen for three main reasons. First, it is easy to use as the ground vehicle would require monitoring to make sure it doesn’t get stuck. Secondly, the drone is much quicker than the ground vehicle, as it can cover more ground faster. Finally, the drone has much better data quality and resolution than satellite imagery and the ground vehicle. The scope of this project is to test the concept and develop a minimum viable product to do the following:

  1. Perform a sweep over farmland.
  2. Take images of the farmland.
  3. Show the farmer where fertile land is.
June, 9 2024

Researching Existing Drones For Agricultural Use:

Existing drones for agricultural purposes were researched. The main options are listed below:

  1. DJI Agras T40–$19,999
  2. DJI Matrice 210 RTK V2–$12,000
  3. DJI Matrice 300 RTK Agriculture–$24,999

Finding a Programmable Drone:

When looking for a drone that could possibly be used for this project there were 5 options that were found. They are listed below:

  1. Parrot AR Drone
  2. DJI Mavic 3
  3. Skydio 2
  4. Ryze Tello
  5. Custom-Built Drone

Choosing the Best Programmable Drone:

The pros and cons of each drone and a weighted average table were evaluated to determine the best drone for the project.

Parrot AR Drone:

Pros:

  • Able to move at high speeds.

Cons:

  • The Parrot AR Drone is not widely available, so it can only be purchased on the used market. As a result, there are not many users creating solutions, hence a lack of community support. This support comes in handy when there is an issue with a program and debugging is required or to understand any limitations with the drone itself.

DJI Mavic 3:

Pros:

  • DJI is a reliable brand and is the most well-known brand in the consumer and commercial drone space.
  • If anything goes wrong with the product, it is easy to get customer support and repair solutions.

Cons:

  • It is very hard to program this drone because there is no way to take the frames from the drone’s camera and process them.
  • DJI has not opened its hardware for open-source development.
  • Additionally, this is an expensive drone.

Skydio 2:

Pros:

  • It has exceptional built-in tracking software that uses a tracking beacon and six obstacle-avoidance sensors to track a subject at high speeds while avoiding obstacles.

Cons:

  • This drone has the same issue as the drone above as it is hard to program, and there is no way to process the frames.
  • The drone also cannot easily map terrain.
  • Additionally, this was an expensive drone.

Ryze Tello:

Pros:

  • This drone takes technology from DJI for components like the motors, propellers, and design.
  • It also uses an onboard intel processor to perform tasks, like computer vision.
  • It is very cost effective, priced at 125 dollars.

Cons:

  • It is not suited for proper outdoor use. Also, since it is very cheap, problems could occur with the calibration and use of the drone.
  • This drone is also not suitable for outdoor use.

Custom-Built Drone:

Pros:

  • Building a drone from scratch allows the user to customize the parts used, meaning the user can customize the capabilities of the drone.
  • Additionally, since only the necessary parts are purchased, the drone is much cheaper than other options.

Cons:

  • As parts are purchased individually, there is a high chance of incompatibility
July, 13 2024

A table was created to evaluate which drone was the best for the project, as we had many good options.

CriteriaWeight (1-10)Parrot AR Drone (1-10)DJI Mavic 3 (1-10)Skydio 2 (1-10)Ryze Tello (1-10)Custom Drone (1-10)
Ability to Apply Computer Vision102 (20)8 (80)2 (20)7 (70)9 (90)
Easy to Use53 (15)6 (30)7 (35)4 (20)9 (45)
Ability to Customize62 (12)1 (6)1 (6)2 (12)10 (60)
Developer Community41 (4)0 (0)0 (0)6 (24)9 (36)
Price (Higher is cheaper)45 (20)3 (12)4 (16)9 (36)7 (28)
Battery Life12 (2)10 (10)8 (8)5 (5)9 (9)
Ability to Map102 (20)5 (50)3 (30)2 (20)9 (90)
Total17 (93)33 (188)25 (115)35 (187)62 (358)
August, 15 2024

We then developed a list of requirements:

Endurance requirement (Distance, flight time):

400 ft vertical, 20 minute flight time.

Payload Capacity:

Up to 500 grams of payload capacity for a camera and possibly a gimbal.

Stability:

The drone should be able to maintain enough stability with the possibility of a gimbal to keep the camera level to take a high resolution images of the field.

Weight requirement:

5 pounds or less.

Camera resolution:

At least 720p.

Safety (If it loses communication with ground station, if it loses GPS):

If it loses communication with the ground station, it should automatically return to its starting point. If it loses GPS, it should emergency stop all propellors.

Water proofing/Dust proofing:

It must be dust resistant, as dust can be kicked up upon takeoff and landing, but no water proofing is required.

Transmission:

There should be a telemetry link as well as a radio link to the drone.

Auto take-off/landing:

The drone should use an automatic takeoff as well as automatic landing.

Should the user have the ability to take manual control:

No.

Intuitive interface (live feed and gps, press a button and bring it back):

Yes, there should be a dashboard that provides a live feed from the gps, camera, and give the farmer the ability to schedule when to do a sweep, do a sweep now, and an emergency stop.

Durability/Materials (Carbon fiber):

The drone should be very durable and resilient through crashes, as well as light.

Onboard processing capabilities:

PX4 should be used to automate taking a picture or performing a sweep.

Size (Folding capabilities):

Doesn’t need to fold.

Permanent ground station:

Yes, a designated computer or mobile device.

After making the list, it was determined that we would need a quadcopter with a Raspberry Pi and PixHawk.

4 Responses

  1. Olga Serebrennikov says:
    September 21, 2024 at 5:36 pm

    Dear Ansh, your selection of the project and its meticulous execution is truly commendable. We are very proud of you. You have always been an exemplary student and we at MathAltitude believe in your very bright future as you go to college and beyond. We wish you lots of success in all your future endeavors!

    Reply
  2. Sainath Kumar says:
    May 20, 2024 at 10:46 pm

    Ansh Hiranandani That’s truly commendable! Your efforts to assist rural farmers in India by determining farmland fertility and improving crop yield are making a significant impact. The fact that an article was published in the Community Advocate to highlight your success speaks volumes about the positive change you’re bringing to the community.

    Your blog about AI-equipped drones is a valuable resource for others interested in sustainable farming practices. Keep up the great work, and I hope your efforts continue to benefit farmers and their livelihoods! 🌱🚁

    Reply
  3. Hrushikesh Salvitthal says:
    April 4, 2024 at 4:02 am

    Your determination to positively impact the lives of rural farmers in India through your initiative is incredibly inspiring. Your unwavering dedication to conducting thorough research as the cornerstone of your project is truly commendable. Keep up the exceptional work!

    Reply
  4. Ankita Luharia says:
    March 3, 2024 at 5:13 am

    It is indeed inspiring to see young minds like you are taking initiative to make a difference in the lives of others, specially the rural farmers of India. Your commitment to thorough research as the foundation of your project is truly commendable. Keep up doing good work.

    Reply

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