Few-shot disease recognition algorithm based on supervised contrastive learning

Diseases cause crop yield reduction and quality decline, which has a great impact on agricultural production. Plant disease recognition based on computer vision can help farmers quickly and accurately recognize diseases. However, the occurrence of diseases is random and the collection cost is very h...

Täydet tiedot

Bibliografiset tiedot

Päätekijät:	Jiawei Mu, Quan Feng, Junqi Yang, Jianhua Zhang, Sen Yang
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	Frontiers Media S.A. 2024-02-01
Sarja:	Frontiers in Plant Science
Aiheet:	plant disease recognition few-shot learning meta-learning supervised contrastive learning nearest-centroid classification
Linkit:	https://www.frontiersin.org/articles/10.3389/fpls.2024.1341831/full
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