Crop pest image classification based on improved densely connected convolutional network

INTRODUCTION: Crop pests have a great impact on the quality and yield of crops. The use of deep learning for the identification of crop pests is important for crop precise management. METHODS: To address the lack of data set and poor classification accuracy in current pest research, a large-scale pe...

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Detalles Bibliográficos
Autores principales: Peng, Hongxing, Xu, Huiming, Gao, Zongmei, Zhou, Zhiyan, Tian, Xingguo, Deng, Qianting, He, Huijun, Xian, Chunlong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Plant Science
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10106646/
https://www.ncbi.nlm.nih.gov/pubmed/37077629
http://dx.doi.org/10.3389/fpls.2023.1133060

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10106646/
https://www.ncbi.nlm.nih.gov/pubmed/37077629
http://dx.doi.org/10.3389/fpls.2023.1133060

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