Non-destructive prediction and visualization of major chemical components in tobacco leaves using hyperspectral imaging
Yang Yue1,Zhang Xin-Xin1,2,He Zeng-Hui3,Li Rui-Dong3, Pan Yu-Jie3,Li Jia-Kang1,Du Wei4,Xu Da-Yong1,Du Jing-Song1,*
1 Zhengzhou Tobacco Research of China National Tobacco Corporation, Zhengzhou 450001, Henan, China; 2 School of Software, Zhengzhou University of Light Industry, Zhengzhou 450002, Henan, China; 3 Yunnan Leaf Tobacco Redrying Co., Ltd., Kunming 650021, Yunnan, China; 4 China Tobacco Sichuan Industrial Co.,
This study was supported by the Major Science and Technology Program of China Tobacco Corporation (110202401033(SZ-07)), the Major Science and Technology Program of Yunnan Provincial Tobacco Company of China National Tobacco Corporation (2024530000241026), the Science and Technology Program of Luliang Redrying Plant, Yunnan Tobacco Redrying Co., Ltd. (2023FK03), and the Science and Technology Research and Development Plan of Henan Province (252102211069).
Yang Yue, Zhang Xin-Xin, He Zeng-Hui, Li Rui-Dong, Pan Yu-Jie, Li Jia-Kang, Du Wei, Xu Da-Yong, Du Jing-Song. Non-destructive prediction and visualization of major chemical components in tobacco leaves using hyperspectral imaging[J].Acta Agronomica Sinica, 0, (): 0-.
