AI for
AGRITECH
HACKATHON
Ready to revolutionize farming with code?
Scroll down to discover challenges, prizes, and how your innovation can change lives.
AI for AGRITECH HACKATHON
Ready to revolutionize farming with code?
Scroll down to discover challenges, prizes, and how your innovation can change lives.
Empowering the Future of Indian Agriculture with Artificial Intelligence, Computer Vision and Deep Learning
About the Hackathon
Be the Change Indian Agriculture Deserves
India’s agriculture sector sustains over 1.4 billion people, yet it continues to struggle with climate change, inconsistent yields, limited access to tech and outdated farming practices. It’s time to bridge the gap between cutting-edge AI innovation and the real needs of our farmers.
This is not just another hackathon. This is your chance to build tech that feeds a nation, supports sustainability and creates tangible social impact.
At the AI for AGRITECH: Precision Farming Hackathon, organized by KIT Skill Hub in collaboration with Pavaman Technologies, we’re challenging students, developers and AI enthusiasts across India to solve real agricultural challenges using the latest in multispectral imaging, vegetation indices, and RGB image-based disease detection.
About the Hackathon
Be the Change Indian Agriculture Deserves
India’s agriculture sector sustains over 1.4 billion people, yet it continues to struggle with climate change, inconsistent yields, limited access to tech and outdated farming practices. It’s time to bridge the gap between cutting-edge AI innovation and the real needs of our farmers.
At the AI for AGRITECH: Precision Farming Hackathon, organized by KIT Skill Hub in collaboration with Pavaman Technologies, we’re challenging students, developers and AI enthusiasts across India to solve real agricultural challenges using the latest in multispectral imaging, vegetation indices, and RGB image-based disease detection.
Who Can Participate?
- Students & Freshers passionate about data science or agriculture
- Professionals in AI/ML, GIS, or computer vision
- Researchers & scientists solving real-world agricultural problems
Whether you’re an engineer, data scientist, biologist, or tech enthusiast, if you’re passionate about solving real challenges through AI, this is your platform.
Participation Format
You can join the hackathon individually or as part of a team.
Team size: 2 to 4 members
Whether you’re a solo innovator or a collaborative team, you’re welcome to participate!
Participation Format
You can join the hackathon individually or as part of a team.
Team size: 2 to 4 members
Whether you’re a solo innovator or a collaborative team, you’re welcome to participate!
Why This Hackathon Matters
Agritech is the future. While the world talks about AI for finance, e-commerce and entertainment, agriculture remains one of the most underserved sector. The potential for transformation in agriculture is enormous but the tools are few. AGRITECH NEEDS YOU
Solve Real Problems. We are giving you real datasets including RGB images and multispectral data from the field with real world farming problems for you to solve and come forward with your skills to make an actual difference.
Collaborate. Build. Impact. Come forward with your team and build projects that could solve real world farming problems and also this hackathon could make you win internships and job opportunities with us.
What You’ll Work On
- Precision Farming
- Crop Stress Detection using Multispectral Images
- Disease Detection in Crops using RGB Images
- Pest and Weed Detection
- Insects and their impact on crops
- Predictive Analytics for Crop Yield
- Deep Learning for Agritech Automation
Tracks & Problem Statements
Tree Crown Detection
Use computer vision to identify crown regions Enters in trees from RGB imagery.
Model suggestions: YOLO, Mask-RCNN, U-Net
Use case: Farm density monitoring, fruit tree count estimation
Dataset: Provided
Crop Stress Identification via Multispectral Imaging
Apply NDVI/NDRE and other vegetation
indices on multispectral images to detect plant stress.
Model suggestions: Vegetation Index-based classifiers, CNNs
Use case: Precision irrigation, nutrient management
Dataset: Provided
Crop Disease Prediction using RGB Images
Classify disease presence from
standard images of crops using deep learning models.
Model suggestions: ResNet, EfficientNet, CNNs with augmentation
Use case: Early detection, advisory systems for farmers
Dataset: Coming Soon
Weed Detection using Drone or RGB Images
Segment or classify weeds from
field
images to support automated weed removal systems.
Model suggestions: YOLO, Mask-RCNN, semantic segmentation
Use case: Automated spraying, robotic farming systems
Dataset: Provided
Tools, Tech
& Flexibility
- Use any open-source tools or frameworks (PyTorch, TensorFlow, etc.)
- Build from scratch or customize pre-trained models
- Leverage publicly available datasets where needed
- Collaborate online or attend offline events—we’re hybrid!
How It Works: Hackathon Timeline
Step: 1
Step: 2
Step: 3
Fill out the registration form
Check your email for participation guidelines
Submit your project on CNN/Computer Vision (e.g., COCO dataset)
Last submission date: June 9,2025
Step: 4
Step: 5
Step: 6
Wait for selection confirmation (within a week)
Attend the orientation & team setup session
Start the 7-day model building hackathon
Step: 7
Step: 8
Step: 9
Submit your final model + reports
Internal evaluation of all submissions
Top 10 will be shortlisted for interviews
Step:1
Fill out the registration form
Step:2
Check your email for participation guidelines
Step:3
Submit your project on CNN/Computer Vision (e.g., COCO dataset)
Last submission date: June 9,2025
Step:4
Wait for selection confirmation (within a week)
Step:5
Attend the orientation & team setup session
Step:6
Start the 7-day model building hackathon
Step:7
Submit your final model + reports
Step:8
Internal evaluation of all submissions
Step:9
Top 10 will be shortlisted for interviews
Evaluation Criteria
Your solution will be reviewed by industry experts and agritech practitioners Scoring will be based on:
- Technical Approach: Depth, novelty, model performance
- Feasibility & Relevance: Real-world applicability, adaptability
- Scalability: How well can this grow across regions or crops?
- Clarity: Presentation, documentation and usability
What’s in it for You?
- Opportunity to win exciting internships and job offers
- Certificate of Excellence for all shortlisted teams
- Potential for collaboration on real agritech projects
- Networking with top experts in AI and agriculture
- Contribute to India’s farming future!
This isn’t just a project—it’s a legacy you build.
About the Organizers
Pavaman Technologies is a deep-tech R&D company
focused on solving real-world agricultural problems
using AI and geospatial technologies. We specialize
in precision farming solutions through advanced imaging, ML models and smart systems that serve farmers at scale.
KIT Skill Hub is a leading corporate institute committed
to bridging the gap between academic learning and
industry demands. We specialize in delivering hands-on
training in Python, Java, Data Science, Digital Marketing
and many other in demand courses. Our mission is to
make students job-ready by providing real-world
exposure, expert mentorship and career-focused
learning programs that empower individuals to succeed
in today’s competitive job market.
Ready to Build
AI That Matters?
Don’t miss this opportunity to bring your ideas to the farm, solve real challenges and help shape the future of agriculture.
Why wait?
The best teams don’t start last minute.
Register today so you can explore problem statements early and start planning your winning strategy.
Hosted by KIT Skill Hub in collaboration with Pavaman Technologies
Frequently Asked Questions
A: No, participation is absolutely free.
A: Absolutely. One of the goals is to bridge the gap between AI and agriculture. Even without domain knowledge, you can build solutions using data, interviews and problem statements we’ll provide.
A: It’s a hybrid model- you can participate online or join us offline at designated hubs.
A: Yes, 100%! The AI for AgriTech Hackathon is designed to be inclusive. You don’t need to be an expert in coding or AI. If you’re from agriculture, biology, business, or even arts — your perspective can bring fresh ideas to the table.
You can team up with someone from a technical background and contribute by:
- Researching real-world agriculture problems.
- Designing the user interface or presentation. Hackathons are not just about coding — they’re about solving problems creatively and collaboratively.
- Explaining how your solution will impact farmers or the agri industry.
A: Submission guidelines will be shared during the hackathon.
Reach Us
Head Office: 2nd Floor, Kapil Kavuri Hub,
Financial District, Nanakramguda,
Hyderabad, Telangana – 500032.
📞 +91 88850 30341 | +91 98898 86936
✉️ Email: kapilitskillhub@gmail.com