Discover our cutting-edge tools to drive precision farming and overcome on-ground challenges smartly. We are here to empower agriculture through intelligence, insights and innovation.
Crop Scan is an advanced crop identification and classification tool that analyzes multi-spectral satellite imagery using machine learning algorithms.
Crop Scan is an advanced crop identification and classification tool that analyzes multi-spectral satellite imagery using machine learning algorithms.
01
Precisely monitor crop types including sugarcane, maize, rice, cotton and more across unlimited areas.
02
Distinguish target crops from weeds and other vegetation types by detecting spectral signatures and growth patterns.
03
Help agribusinesses maintain accurate records of cultivated crops without the need for guesswork and field surveys.
Farm Matrix uses satellite data and spatial analytics to monitor habitats, crop diversity, and vegetation health across agricultural landscapes.
Maps natural habitats and land-use change
Tracks crop rotation and agro-biodiversity
Uses vegetation indices (NDVI, NDRE, NDMI) as ecosystem health indicators
Detects biodiversity risks and recovery over time
Leafscan is a smart AI diagnostic tool designed to identify crop diseases, pest attacks and nutritional deficiencies through image analysis.
Localized treatment suggestions
Multi-crop image support
Prevention tips and guidance
Disease severity assessment
Take a picture of plant
AI model Detect Plant Disease
Get Detail Disease Diagnosis
End-to-End Cotton Traceability from Field to Market
Digital mapping of cotton fields with verified boundaries
Unique farmer & field identification codes
Crop monitoring throughout the season using satellite data
Linkage of agronomic practices, inputs & field records
Sustainability indicators (water use, soil health, emissions)
Compliance-ready data for buyers, brands & regulators
End to end RiceTraceability from paddy field to market
Digital mapping of rice paddies with verified field boundaries
Unique farmer and field identification codes
Sustainability indicators including water usage, soil health, and emissions
Season long crop monitoring using satellite and remote sensing data
Integration of agronomic practices, inputs, and field activity records
Compliance ready data for buyers, brands, exporters, and regulators
