Field Boundary Detection
Automatic Field Boundary Detection Using Neural Networks
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.
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