The Smart Farming Application is an AI-driven, IoT-enabled, and data-driven platform designed to empower Indian farmers by providing personalized, localized, and sustainable crop recommendations. It integrates soil sensors, satellite data, weather APIs, and government datasets to ensure reliable guidance. The platform also includes security, role-based access, multilingual support, offline access, and government monitoring capabilities.
-
AI Crop Recommendation System
- Uses soil nutrients (NPK, pH), past fertilizers, previous crops, weather, and location.
- Tiered constraints:
- Single prioritized state with full production & yield data.
- Single prioritized state with partial/missing data.
- Hybrid sorting: fewest farmers, highest total production, highest yield.
- Dataset fallback ensures recommendations if AI fails.
-
Soil & Fertilizer Management
- Real-time IoT sensors measure NPK, pH, and moisture.
- Satellite data fallback using SoilGrids and Bhuvan APIs.
- Smart fertilizer recommendations based on crop type, soil nutrients, and past history.
- Future upgrade: Recommended pH & NPK values per crop.
-
Weather & Location Awareness
- Weather API integration for rainfall, temperature, humidity.
- Hyper-local recommendations using 1.65 lakh+ pincode dataset.
-
Pest & Disease Detection
- Farmers upload crop images; AI detects pests/diseases.
- Natural remedies recommended first, then chemical treatments if needed.
- Early warning alerts based on nearby farm data.
-
Chatbot & Multilingual Support
- AI chatbot answers crop, soil, and fertilizer queries.
- Supports multiple Indian languages for inclusive access.
-
Offline & Voice-Assisted Access
- Toll-free IVR for farmers without smartphones.
- Provides advice in local languages for low-connectivity regions.
- Dynamic crop rotation planner to maintain soil fertility.
- Historical crop performance analytics for yield, fertilizer, and environmental tracking.
- Fertilizer efficiency and cost calculator.
- Climate adaptation guidance (drought/flood-tolerant crops).
- Sustainability scoring for soil health, water usage, and environmental impact.
- Personal dashboards for farmers and government analytics dashboards.
- Role-Based Access Control
- Farmers: Access only personal data and recommendations.
- Government Users: Access farmers within assigned pincodes only.
- Admins: Full control over all users, crops, and datasets.
- Session Timeout: Automatic logout for inactive users.
- Strong data privacy and security mechanisms.
- Crop Dataset: Scientific name, season, yield, total production, prioritized states, farmer count, and recommended pH/NPK values.
- Location Dataset: 1.65 lakh+ pincodes from data.gov.in.
- Hybrid combination of AI + dataset + fallback ensures accurate, hyper-local recommendations.
- Web-first approach, mobile app in later phases.
- Integration with government seed/fertilizer subsidy schemes.
- Profit & yield forecasting for decision-making before planting.
- Direct farmer-to-market connections for better transparency.
- Sustainability & environmental impact insights.
- Hybrid AI + IoT + Satellite + Dataset system ensures reliability.
- Robust fallback system guarantees recommendations even if AI fails.
- Hyper-local precision for 1.65 lakh+ locations.
- Inclusive: Web, mobile, IVR, multilingual support.
- Predictive pest/disease alerts and early warnings.
- Dynamic crop rotation and sustainability scoring.
- Historical analytics for farmers and government planning.
- Scalable architecture for new regions, crops, and datasets.
- Farmers: Better yields, improved soil health, data-backed decisions, reduced risks.
- Government: Efficient monitoring and policy implementation at pincode level.
- Society: Sustainable agriculture, inclusive technology adoption, improved food security.
- Backend: Python (Flask), SQLAlchemy (Database ORM)
- AI/ML: Google Gemini API for crop recommendation, pest/disease detection
- IoT: NPK, pH, moisture sensors
- Frontend: HTML/CSS, JavaScript
- APIs: Weather API, Satellite (SoilGrids, Bhuvan), government datasets
- Farmers register with their farm location and unique ID.
- IoT sensors and/or satellite data feed soil information.
- AI recommends crops based on soil, weather, and historical datasets.
- Farmers receive crop, fertilizer, and pest/disease guidance via web, chatbot, or IVR.
- Government users monitor farmers in their assigned pincodes; admins manage the system globally.
This project is open-source and available for academic, research, and non-commercial use.