Crop Area and Yield Prediction

Satellite Mapping:

Uses high-resolution satellite imagery to map the total crop area.
Provides accurate insights into land under cultivation, ensuring precise planning and reporting.

Multi-Crop Support:

The system can differentiate between crop types, making it useful for diversified farms or regions with mixed cropping patterns.

Regional and Field-Level Insights:

Delivers data for both large-scale regional analysis and detailed individual field monitoring.

Historical Analysis:

Tracks crop area changes over time to understand trends and impacts of agricultural policies or climate.

Yield Prediction

Yield Prediction:

AI-Powered Analytics:

Combines satellite data and machine learning models to forecast yields with up to 90–95% accuracy several weeks before harvest.

Seasonal Monitoring:

Tracks crop growth stages and provides predictive insights into expected yields.

Proactive Decision Support:

Helps farmers and agribusinesses plan logistics, marketing, and resource allocation in advance.

Scalable for Various Crops:

Supports yield prediction across a wide range of crops, from grains and vegetables to fruits and cash crops.

Climate-Adjusted Models:

Incorporates weather data and climate variations to enhance accuracy in dynamic agricultural conditions.