Cotton disease identification method based on pruning

Deep convolutional neural networks (DCNN) have shown promising performance in plant disease recognition. However, these networks cannot be deployed on resource-limited smart devices due to their vast parameters and computations. To address the issue of deployability when developing cotton disease id...

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Detalles Bibliográficos
Autores principales: Zhu, Dongqin, Feng, Quan, Zhang, Jianhua, Yang, Wanxia
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/PMC9795023/
https://www.ncbi.nlm.nih.gov/pubmed/36589068
http://dx.doi.org/10.3389/fpls.2022.1038791

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9795023/
https://www.ncbi.nlm.nih.gov/pubmed/36589068
http://dx.doi.org/10.3389/fpls.2022.1038791

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