
Artificial Intelligence-Powered Innovations for Sustainable Agriculture

Explore Our Hyperspectral Imaging based solution, an easy-to-use Prediction Software that provides Instant, Real-time, Non-destructive monitoring of Nicotine and Sugar content in the leaf tobacco. The solution is an AI Model that utilizes Nicotine & Sugar molecules specific spectral signature for accurate analysis & prediction in Leaf Tobacco

Effective monitoring and management of crop cultivation is crucial for optimizing production, ensuring sustainable practices, and meeting market demands. In this project, geospatial technologies and satellite-based remote sensing is employed to identify & map crop areas. Advanced AIML models, crop specific spectral signatures and crop specific novel NDVI is being developed for crop identification, acreage estimation and yield prediction

Explore our Hyperspectral Sensors based solution, that provides rapid & cost effective soil fertility prediction, fertilizer recommendation and digital soil mapping in crop cultivation, eliminating the need for complex, time consuming and expensive chemical wet lab based method

Our Portable X-ray Fluorescence based solution, a powerful easy-to-use Prediction Software that provides instant analysis of Elemental Composition & detection of Heavy Metals in Soil & Agri Products. The solution is an AI Model that utilizes the spectra of characteristic X-rays emitted from the respective elements after irradiation with high energy X-rays