Improved MobileNetV2 crop disease identification model for intelligent agriculture

Using intelligent agriculture is an important way for the industry to achieve high-quality development. To improve the accuracy of the identification of crop diseases under conditions of limited computing resources, such as in mobile and edge computing, we propose an improved lightweight MobileNetV2...

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Detalles Bibliográficos
Autores principales: Lu, Jianbo, Liu, Xiaobin, Ma, Xiaoya, Tong, Jin, Peng, Jungui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2023
Materias:
Algorithms and Analysis of Algorithms
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10557480/
https://www.ncbi.nlm.nih.gov/pubmed/37810352
http://dx.doi.org/10.7717/peerj-cs.1595

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10557480/
https://www.ncbi.nlm.nih.gov/pubmed/37810352
http://dx.doi.org/10.7717/peerj-cs.1595

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