Smart Hyperspectral Mapping for Sustainable Crop Management
Drones for More Crop per Drop
Tags: IIT Bombay, India, Agriculture & Food, Transportation & Automotive
This technology leverages hyperspectral data and machine learning models to create plant-level stress maps for identifying water and nitrogen deficiencies in crops. Validated models are ready to be deployed as decision support software for farmers, enabling precise resource management and healthier farming practices. Applications include reducing groundwater pollution, minimizing fertilizer use, and maintaining soil fertility while optimizing crop yield. This method promotes food safety, environmental sustainability, and long-term agricultural productivity. The solution aims to modernize Indian agriculture by integrating digital tools and remote sensing technology into farming.
IP Type or Form Factor: Software & Algorithm
TRL: 6 - prototype validated in intended environment
Industry or Tech Area: Agriculture; Drones & UAV
