Geospatial Innovation · Agriculture
Precision agriculture SaaS integrating satellite, drone, IoT sensors, and AI for field-level crop intelligence and multilingual advisory.
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BhoomiCrop Analytics integrates satellite remote sensing, drone multispectral imagery, IoT-based soil sensors, AI/ML models, and multilingual advisory systems to deliver field-level crop intelligence and decision support.
Technology Readiness Level — TRL 7
Farmers, FPOs, and agribusinesses lack access to integrated field-level crop intelligence, making it difficult to optimize irrigation, fertilizer application, crop monitoring, pest detection, and yield prediction. Fragmented agricultural data leads to inefficient decision-making and underutilized farmland.
A precision agriculture SaaS and mobile platform that integrates satellite remote sensing, drone multispectral imagery, IoT-based soil sensors, AI/ML models, Sentinel-2 imagery, vegetation indices (NDVI, NDWI, NDRI), weather data, and multilingual advisory systems to deliver field-level crop intelligence and decision support.
Satellite and drone-based crop monitoring and health assessment.
NDVI, NDWI, and NDRI vegetation index analysis.
IoT-based soil moisture monitoring and alerts.
Crop stress and pest detection with yield prediction.
Multilingual WhatsApp advisory alerts for farmers.
Variable Rate Application map generation for precision inputs.
Enables evidence-based agricultural decision-making by integrating satellite, drone, and IoT data into a unified precision farming platform. Helps reduce input costs, improve crop productivity, validate agricultural products, and provide scalable digital advisory services for farmers and agribusinesses.
Initial deployment across Uttarakhand, Rajasthan, Maharashtra, and Andhra Pradesh through partnerships with government agencies, FPOs, and agribusinesses using a B2B SaaS and API-based distribution model.
Book a walkthrough of this project and the Operation Dronagiri sandbox, or bring a problem statement to Geo-Intel Lab.
