Recognition of wheat rusts in a field environment based on improved DenseNet

Chang, Shenglong; Yang, Guijun; Cheng, Jinpeng; Feng, Ziheng; Fan, Zehua; Ma, Xinming; Li, Yong; Yang, Xiaodong; Zhao, Chunjiang

doi:10.1016/j.biosystemseng.2023.12.016

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Recognition of wheat rusts in a field environment based on improved DenseNet

Cited by 5 publications

References 33 publications

RustQNet: Multimodal deep learning for quantitative inversion of wheat stripe rust disease index

RustQNet: Multimodal deep learning for quantitative inversion of wheat stripe rust disease index

Classification of infection grade for anthracnose in mango leaves under complex background based on CBAM-DBIRNet

A method of maize seed variety identification based on near-infrared spectroscopy combined with improved DenseNet model

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