Geospatial Innovation · Agriculture
AI-based DSS integrating IoT, SAR imagery, and geospatial data for intelligent irrigation decisions.
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Encode Nature's Intelligent Irrigation Support System optimizes water usage through soil moisture estimation and AI-based irrigation recommendations.
Technology Readiness Level — TRL 3
Inefficient irrigation practices due to lack of accurate soil moisture assessment and data-driven irrigation planning.
AI-based Decision Support System (DSS) integrating IoT, weather, soil, SAR satellite imagery, and geospatial data to optimize irrigation decisions.
Multi-source soil moisture estimation using IoT and SAR data.
AI-optimized irrigation scheduling based on crop and weather.
Satellite-derived soil moisture maps for large areas.
Fusion of IoT, weather, and satellite geospatial datasets.
Farmer-friendly dashboard for irrigation decision support.
Reduced water consumption, optimized irrigation scheduling, improved crop productivity, enhanced decision-making, sustainable agriculture.
Validate across 3 agro-climatic zones in AP and Telangana before national rollout.
Book a walkthrough of this project and the Operation Dronagiri sandbox, or bring a problem statement to Geo-Intel Lab.
