From laboratory to field: cross-domain few-shot learning for crop disease identification in the field

From laboratory to field: cross-domain few-shot learning for crop disease identification in the field

Few-shot learning (FSL) methods have made remarkable progress in the field of plant disease recognition, especially in scenarios with limited available samples. However, current FSL approaches are usually limited to a restrictive setting where base classes and novel classes come from the same domain...

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Bibliographic Details
Main Authors:	Sen Yang, Quan Feng, Jianhua Zhang, Wanxia Yang, Wenwei Zhou, Wenbo Yan
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2024-12-01
Series:	Frontiers in Plant Science
Subjects:	cross-domain few-shot learning crop diseases recognition multi-domain
Online Access:	https://www.frontiersin.org/articles/10.3389/fpls.2024.1434222/full
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