Double-branch deep convolutional neural network-based rice leaf diseases recognition and classification

Deep convolutional neural network (DCNN) has recently made significant strides in classification and recognition of rice leaf disease. The majority of classification models perform disease image recognitions using a collocation patterns including pooling layers, convolutional layers, and fully conn...

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Dades bibliogràfiques

Autors principals:	Xiong Bi, Hongchun Wang
Format:	Artigo
Idioma:	Inglês
Publicat:	PAGEPress Publications 2023-10-01
Col·lecció:	Journal of Agricultural Engineering
Matèries:	Convolutional block attention module (CBAM) deep convolution neural network (DCNN) rice leaf diseases classification
Accés en línia:	https://www.agroengineering.it/index.php/jae/article/view/1544
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