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ResNet incorporating the fusion data of RGB & hyperspectral images improves classification accuracy of vegetable soybean freshness.

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第一作者： Yuanpeng,Bu

第一单位： Institute of Vegetables, Key Laboratory of Vegetable Legumes Germplasm Enhancement and Southern China of the Ministry of Agriculture and Rural Affairs, Zhejiang Academy of Agricultural Sciences, Hangzhou, China.

作者： Yuanpeng,Bu ^[1] ; Jinxuan,Hu ^[2] ; Cheng,Chen ^[3] ; Songhang,Bai ^[2] ; Zuohui,Chen ^[2] ; Tianyu,Hu ^[2] ; Guwen,Zhang ^[1] ; Na,Liu ^[1] ; Chang,Cai ^[2] ; Yuhao,Li ^[2] ; Qi,Xuan ^[2] ; Ye,Wang ^[4] ; Zhongjing,Su ^[2] ; Yun,Xiang ^[5] ; Yaming,Gong ^[6]

作者单位： Institute of Vegetables, Key Laboratory of Vegetable Legumes Germplasm Enhancement and Southern China of the Ministry of Agriculture and Rural Affairs, Zhejiang Academy of Agricultural Sciences, Hangzhou, China. ^[1] Institute of Cyberspace Security, Zhejiang University of Technology, Hangzhou, China. ^[2] Zhejiang Yuncheng Information technology Co Ltd., Hangzhou, China. ^[3] Faculty of Engineering, Lishui University, Lishui, China. ^[4] Institute of Cyberspace Security, Zhejiang University of Technology, Hangzhou, China. xiangyun@zjut.edu.cn. ^[5] Institute of Vegetables, Key Laboratory of Vegetable Legumes Germplasm Enhancement and Southern China of the Ministry of Agriculture and Rural Affairs, Zhejiang Academy of Agricultural Sciences, Hangzhou, China. gongym07@126.com. ^[6]

医学主题词人类(Humans);蔬菜(Vegetables);水果(Fruit)

DOI 10.1038/s41598-024-51668-6

PMID 38297076

发布时间 2026-02-03

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