Features
Live — Agriculture
- 33 trained ML models — mango, tomato, multi-crop disease & pest detection
- Irrigation scheduling & soil pH intelligence (Raspberry Pi edge, offline-first)
- Drone-based NDVI field analysis + automated WhatsApp/SMS alerts
- Real-time dashboard — Railway cloud + WebSocket live updates
Next — Healthcare
- Edge AI diagnostics for rural health centres
- Offline-first patient monitoring with explainable AI outputs
- Same Raspberry Pi + TFLite approach as agriculture
Future — Defence & Public Sector
- Autonomous computer vision systems
- Decision support for defence applications
- Smart government infrastructure & public services
AgriEdgeAI Roadmap
- ✓ Edge stack — Raspberry Pi, MQTT, TimescaleDB, Railway cloud
- ✓ 33 ML models — disease, pest, irrigation, soil pH, NDVI
- ✓ Android apps — farmer mobile + drone operations (Play Store ready)
- ✓ Greenhouse intelligence — IOWT, UK pilot (Isle of Wight Tomatoes)
- → Multicrop expansion — rice, maize, wheat, cotton, sugarcane India-wide
- → ICAR / NABARD / government partnerships — Andhra Pradesh