We develop a Convolutional Neural Network for the extraction of crop categories from satellite images, adapted from a DeepLabV3 originally developed for biomedical image segmentation.We train our model on satellite images and on ground-truth labels extracted from satellite images We show that our model achieves a reasonable level of accuracy, and outline some ideas for further improvements.
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