AgroSmart is a full-fledged AgriTech project that is currently being open-sourced. It is in its Beta phase and consists of:
- A hardware device that detects soil moisture, light intensity, humidity, and temperature and sends the data to a mobile app.
- An automated water pump system that operates based on moisture levels.
- An AI-powered disease prediction feature that identifies crop diseases using predefined symptom-based analysis.
The AI model is currently being improved and open-sourced on Hugging Face (link coming soon).
| Component | Technology Used |
|---|---|
| 🌐 Website | React.js & Tailwind CSS |
| 📱 App | MIT App Inventor (Low-code platform) |
| 🔌 Device | ESP32, DHT11, LDR, Soil Moisture Sensor v1 |
| 🧠 AI Model (Previous Version) | Rule-based Model in Node.js |
| 🤖 AI Model (Beta Version) | Vector-based disease identification using datasets |
- 📊 Crop Statistics – Economic Times
- 🛠️ Arduino IDE / Compiler – Arduino Official
- 📱 Develop App using MIT App Inventor – MIT App Inventor
- 🌱 Crop Disease Information – Wikipedia
- 📌 DHT Sensor Library – Adafruit DHT Library
- 🌍 ESP32 Web Server Library – ESP32 WebServer
- 📶 ESP32 WiFi Library – WiFi Library
- 📚 Base Model Reference – SIMDS-Hydro
- ⚪ App - AroSmart-App
- ⚪ Annadhaar - Annadhaar
- ⚪ Crop-Support - AroSmart-App
