Smart detection using proprietary Deep Learning models
Based on these data, proprietary Deep Learning models are developed and trained to detect and classify plants, identify subsoiling lines and recognize areas with weeds. These models are continuously refined with new information, increasing their accuracy and robustness.
The results are processed using automated geoprocessing routines that generate interpretable vector layers, ready to be integrated into the client’s systems.