Crop classification
Determine crop type on a regional scale, take inventory of crops for any vegetative season, estimate hectarage.
Crop classification provides crucial data on land use and crop rotation on a regional scale.
To generate the most accurate insights, we combine data from Sentinel-2 time-series images with a 10-m resolution and ground data, then apply our neural networks to detect field boundaries, and classify different types of crops. You can visualize all this data conveniently on a map. Our model is capable of achieving up to 90% accuracy*.
Using the Crop classification map, you can take a full inventory of crops for a whole region and for any vegetative season, identify arable and non-arable land or estimate hectarage for each crop type.
We will provide you with the completed cropland masks as .geotiff and .shp files.
*The accuracy can vary depending on a specific region and the quality and completeness of input data.
Other Solutions
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Monitor harvest to ensure production chain traceability, improve decision-making, and minimize risks.
Improve decision-making, discover and compare trends using yield prediction.