An Improved EfficientNetV2 Model Based on Visual Attention Mechanism: Application to Identification of Cassava Disease

With the characteristic of high recognition rate and strong network robustness, convolutional neural network has now become the most mainstream method in the field of crop disease recognition. Aiming at the problems with insufficient numbers of labeled samples, complex backgrounds of sample images,...

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Detalles Bibliográficos
Autores principales: Ye, Yuanbo, Zhou, Houkui, Yu, Huimin, Hu, Haoji, Zhang, Guangqun, Hu, Junguo, He, Tao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9617697/
https://www.ncbi.nlm.nih.gov/pubmed/36317074
http://dx.doi.org/10.1155/2022/1569911

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9617697/
https://www.ncbi.nlm.nih.gov/pubmed/36317074
http://dx.doi.org/10.1155/2022/1569911

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