Label-efficient learning in agriculture: A comprehensive review

Jiajia Li, Dong Chen, Xinda Qi, Zhaojian Li, Yanbo Huang, Daniel D. Morris, Xiaobo Tan

Abstract: Highlights•Recent advances in weak and no supervision learning and their applications in agriculture.•A new taxonomy of label-efficient algorithms was proposed according to the degree of required supervision.•The remaining challenges and potential future directions for label-efficient learning in agriculture were discussed.