DA-ActNN-YOLOV5: Hybrid YOLO v5 Model with Data Augmentation and Activation of Compression Mechanism for Potato Disease Identification

To solve the problems of weak generalization of potato early and late blight recognition models in real complex scenarios, susceptibility to interference from crop varieties, colour characteristics, leaf spot shapes, disease cycles and environmental factors, and strong dependence on storage and comp...

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Detalles Bibliográficos
Autores principales: Dai, Guowei, Hu, Lin, Fan, Jingchao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9525742/
https://www.ncbi.nlm.nih.gov/pubmed/36193182
http://dx.doi.org/10.1155/2022/6114061

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9525742/
https://www.ncbi.nlm.nih.gov/pubmed/36193182
http://dx.doi.org/10.1155/2022/6114061

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