Crop Type Classification

Classification of field crops is an essential part of agriculture as a business. Identifying crops using traditional methods can be quite a daunting task.

EOSDA offers a faster and much easier way of solving this problem relying on years of experience in precision agriculture, as well as expertise in the application of AI-powered algorithms, and remote sensing.

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.

Crop Classification Solution In Numbers

• Accuracy up to 90%
  Crop type maps with an accuracy of up to 90%, depending on the completeness of ground data and availability of regular satellite scenes.
• Resolution 10 meters
  Get cropland masks at a 10-m resolution in .geotiff or .shp formats.
• Field size from 3 ha
  Crops identified for any area, even as small as 3 ha.
• Coverage AOIs in 195 countries
  Our algorithm identifies crops almost anywhere on Earth.
• Delivery rate from 1 month
  If conditions are favorable, our qualified RnD team requires only several weeks to complete research and deliver an accurate crop classification map to you.
• Crop types over 15
  Our trained neural networks can classify over 15 different types of crops.