EOSDA Crop Monitoring is an online satellite-based precision agriculture platform for field monitoring created by EOS Data Analytics (EOSDA), a global provider of AI-powered satellite imagery analytics. The platform is a one-stop solution that integrates multiple types of data (crop health, weather conditions, crop rotation, field activities, elevation, soil moisture, and a host of other types) all in one place.

Crop classification is classifying the land surface according to the type of crop growing in there. It is provided as geospatial information in raster or vector format.

By combining Synthetic Aperture Radar (SAR) data with optical imagery, we can assign a class to each type of crop recognized by a trained neural network in any area of interest and build a crop type map suitable to the customer`s needs.

Keep abreast of the ag market trends with an accurate crop distribution map - plan your strategy smartly.

Data required from client:

• Area of interest in *.shp / *.kml / *.geojson (country, state, district, etc.);
• List of crop types;
• Agriculture calendar for each crop (planting date and harvesting);
• Period of classification (season, months);
• Ground-truth data (minimal 2-3% from AOI for each crop type).

EOSDA solution model based on:

• Time-series Sentinel 2 imagery;
• Model-based on AI and neural network.