Class-attention-based lesion proposal convolutional neural network for strawberry diseases identification.

Hu, Xiaobo; Wang, Rujing; Du, Jianming; Hu, Yimin; Jiao, Lin; Xu, Taosheng

Hu, Xiaobo; Wang, Rujing; Du, Jianming; Hu, Yimin; Jiao, Lin; Xu, Taosheng.

Afiliação

Hu X; Science Island Branch, University of Science and Technology of China, Hefei, Anhui, China.
Wang R; Institute of Intelligent Machines, Hefei Institutes of Physical Science, Chinese Academy of Sciences (CAS), Hefei, Anhui, China.
Du J; Science Island Branch, University of Science and Technology of China, Hefei, Anhui, China.
Hu Y; Institute of Intelligent Machines, Hefei Institutes of Physical Science, Chinese Academy of Sciences (CAS), Hefei, Anhui, China.
Jiao L; Institute of Physical Science and Information Technology, Anhui University, Hefei, Anhui, China.
Xu T; Institute of Intelligent Machines, Hefei Institutes of Physical Science, Chinese Academy of Sciences (CAS), Hefei, Anhui, China.

Front Plant Sci ; 14: 1091600, 2023.

Article em En | MEDLINE | ID: mdl-36844049

Palavras-chave

class response map; complex background; convolutional neural network; lesion details; main lesion object; similar diseases; strawberry disease identification

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Front Plant Sci Ano de publicação: 2023 Tipo de documento: Article

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