Field Boundary Detection

Automatic Field Boundary Detection Using Neural Networks

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Agriculture of the 21st century is facing difficult challenges: feeding the growing population in a sustainable way is not going to be easy. We at EOSDA understand this problem and keep coming up with more and more advanced technological solutions to help growers, agri-businesses, retailers, and various institutions on a global scale.

We use high-resolution imagery and powerful boundary detection algorithms developed by the EOSDA’s own experienced team of scientists to achieve a high level of detail in field delineation. Our models can be adjusted to any territory by incorporating locally obtained data from the clients.

  • Accuracy over 80%
    We offer an accuracy of above 80% depending on region, image characteristics, and season.
  • Minimum field size 3 ha
    Minimum field size required for reliable boundary detection is 3 ha, but varies depending on the field's shape.
  • Data validation IOU method
    We use the intersection over union (IOU) method of validating the results, i.e. comparing the field boundaries we've detected with the data received from the client.  
EOS Data Analytics Inc
CompanyEOS Data Analytics Inc
PricingOn Request
RegionWorldwide
com

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