Unlocking large-scale crop field delineation in smallholder farming systems with transfer learning and weak supervision. (arXiv:2201.04771v1 [cs.CV])

Crop field boundaries aid in mapping crop types, predicting yields, and
delivering field-scale analytics to farmers. Recent years have seen the
successful application of deep learning to delineating field boundaries in
industrial agricultural systems, but field boundary datasets remain missing in
smallholder systems due to (1) small fields that require high resolution
satellite imagery to delineate and (2) a lack of ground labels for model
training and validation. In this work, we combine transfer learning and weak
supervision to overcome …

arxiv cv farming learning systems transfer learning