Three-channel convolutional neural networks for vegetable leaf disease recognition
S Zhang, W Huang, C Zhang�- Cognitive Systems Research, 2019 - Elsevier
The color information of diseased leaf is the main basis for leaf based plant disease
recognition. To make use of color information, a novel three-channel convolutional neural
networks (TCCNN) model is constructed by combining three color components for vegetable
leaf disease recognition. In the model, each channel of TCCNN is fed by one of three color
components of RGB diseased leaf image, the convolutional feature in each CNN is learned
and transmitted to the next convolutional layer and pooling layer in turn, then the features�…
recognition. To make use of color information, a novel three-channel convolutional neural
networks (TCCNN) model is constructed by combining three color components for vegetable
leaf disease recognition. In the model, each channel of TCCNN is fed by one of three color
components of RGB diseased leaf image, the convolutional feature in each CNN is learned
and transmitted to the next convolutional layer and pooling layer in turn, then the features�…