Crop Classification System
Automated crop type identification using multi-temporal satellite imagery.
AI models trained to classify crops and seasonal patterns at scale.
LULC-based agricultural intelligence for planning and yield analysis.
Enables data-driven decisions for agriculture and policy stakeholders.
Geospatial Price Prediction: Utilizes ML algorithms to predict land prices based on proximity to infrastructure (highways, metros), land use classification (LULC), and socio-economic growth patterns.
IndLand™ Integration: A comprehensive land information system that allows users to view digitized cadastral maps (village maps) overlaid with real-time market value assessments.
Change Detection Analytics: Automatically identifies urban sprawl and land-use shifts (e.g., agricultural land turning into residential), providing early-warning signals for price appreciation.
Soil & Resource Analysis (via IndAgri™): For agricultural land, the AI evaluates soil health, water availability, and historical yield to determine the "productive value" of the land, not just the market price.
Power in Numbers
30
Districts
50
HMDA Sites
200
Acres of Land
Project Gallery
