Geospatial Innovation · Agriculture
AI and satellite-based crop monitoring platform with Sentinel imagery, weather data, and LLM-powered localized agronomic advisory.
Powered by CropGen
CropGen integrates Sentinel imagery, weather data (ERA5 & NASA POWER), SoilGrids, local field data, and AI-driven agronomic models for real-time crop health monitoring, nutrient management, and localized advisories.
Technology Readiness Level — TRL 7
Farmers often lack access to real-time, localized crop monitoring and scientific agronomic advisory, leading to inefficient fertilizer use, poor irrigation planning, lower crop yields, and limited adoption of precision agriculture.
An AI- and satellite-based Crop Monitoring & Advisory System (AAS) that integrates Sentinel imagery, weather data (ERA5 & NASA POWER), SoilGrids, local field data, and AI-driven agronomic models to provide real-time crop health monitoring, nutrient management, irrigation planning, and localized advisories.
AI-powered crop monitoring using satellite imagery.
Satellite-based vegetation health using NDVI, EVI, NDWI indices.
Comprehensive agronomic crop parameter tracking.
Localized AI advisory in Indian languages via LLM.
Precision nutrient management and irrigation planning.
Real-time insights through mobile application.
Provides real-time AI-driven agronomic recommendations based on satellite and field data, enabling farmers to optimize fertilizer use, improve irrigation efficiency, increase crop yields, and make informed decisions through localized digital advisory services.
Initial deployment across 10,000+ acres in Maharashtra with expansion through FPOs, agri-input stakeholders, government platforms, and API integrations.
Book a walkthrough of this project and the Operation Dronagiri sandbox, or bring a problem statement to Geo-Intel Lab.
