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MGA-YOLO: A lightweight one-stage network for apple leaf disease detection

Apple leaf diseases seriously damage the yield and quality of apples. Current apple leaf disease diagnosis methods primarily rely on human visual inspection, which often results in low efficiency and insufficient accuracy. Many computer vision algorithms have been proposed to diagnose apple leaf dis...

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Detalles Bibliográficos
Autores principales:	Wang, Yiwen, Wang, Yaojun, Zhao, Jingbo
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2022
Materias:	Plant Science
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9441945/ https://www.ncbi.nlm.nih.gov/pubmed/36072327 http://dx.doi.org/10.3389/fpls.2022.927424

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