Hyperspectral imaging combined with dual-channel deep learning feature fusion model for fast and non-destructive recognition of brew wheat varieties

Han, Lipeng; Tian, Jianping; Huang, Yuexiang; He, Kangling; Liang, Yan; Hu, Xinjun; Xie, Liangliang; Yang, Haili; Huang, Dan

doi:10.1016/j.jfca.2023.105785

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Hyperspectral imaging combined with dual-channel deep learning feature fusion model for fast and non-destructive recognition of brew wheat varieties

Cited by 5 publications

References 32 publications

Classification of tea quality grades based on hyperspectral imaging spatial information and optimization models

Classification of tea quality grades based on hyperspectral imaging spatial information and optimization models

A hybrid CNN-Transformer model for identification of wheat varieties and growth stages using high-throughput phenotyping

Rapid sorghum variety identification by hyperspectral imaging combined with super-depth-of-field microscopy

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