A deep convolutional neural network-based wavelength selection method for spectral characteristics of rice blast disease

Shuai Feng,Dongxue Zhao,Qiang Guan,Jinpeng Li, Ziyang Liu,Zhongyu Jin, Guangming Li,Tongyu Xu

Computers and Electronics in Agriculture（2022）

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摘要

•ResNet-CBAM was constructed for feature extraction of different disease classes of rice blast.•Guided-GradCAM visualization method was used to select the characteristic wavelengths for different disease levels.•RF model was able to accurately identify different disease levels of rice blast.

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关键词

Rice blast,Hyperspectral,Characteristic wavelength,Deep convolutional neural network,Visualization

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