🌱 ECOYIELD
Smart India Hackathon 2025 – Agriculture, FoodTech & Rural Development
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About the Project
ECOYIELD is an AI-driven precision agriculture platform that analyzes real-time soil and crop data, weather conditions, and historical patterns to recommend optimal fertilizer use. It helps farmers achieve higher yields with lower environmental impact.
Team Members: Aashif M, Ahamed H, Muzzammil, Harshavardhan, Nawf Abdullah, Krithika
Tech Stack
| Component | Details |
|---|---|
| Microcontroller | ESP32 (Low-power processing + WiFi) |
| Sensors | NPK, pH, Moisture, Temperature |
| Wireless | LoRa (SX1276/SX1278) |
| Software | Python, TensorFlow/Scikit-learn, AWS IoT |
| Mobile App | Android (Custom-built for farmers) |
Impact
- Reduces fertilizer waste and cost for farmers.
- Improves soil health and long-term sustainability.
- Empowers rural communities through data-driven agriculture.
⚠️ Our team was not selected for the final round, but the experience deepened our technical, research, and collaboration skills.
Reflection
Participating in Smart India Hackathon 2025 strengthened our technical foundation in AI, IoT, and Cloud integration. It was a valuable learning experience in applying technology for sustainable agriculture.
Team Details
- Team Name: ECOYIELD
- Problem ID: 1639
- Theme: Agriculture, FoodTech & Rural Development
- Category: Software