Self-supervised learning -- A way to minimize time and effort for precision agriculture?. (arXiv:2204.02100v1 [cs.LG])

Machine learning, satellites or local sensors are key factors for a
sustainable and resource-saving optimisation of agriculture and proved its
values for the management of agricultural land. Up to now, the main focus was
on the enlargement of data which were evaluated by means of supervised learning
methods. Nevertheless, the need for labels is also a limiting and
time-consuming factor, while in contrast, ongoing technological development is
already providing an ever-increasing amount of unlabeled data. Self-supervised
learning (SSL) could overcome …

agriculture arxiv learning precision self-supervised learning supervised learning time