CORESTA Congress, Online, 2022, Agronomy/Phytopathology Groups, AP 07
Optimization of prediction model for tobacco leaf dehydration rate during intensive curing process based on machine learning
DU Haina(1,2); MENG Lingfeng(1); WANG Songfeng(1); ZHANG Binghui(3); HE Dengfeng(4); XUN Xiaohong(5); GAO Jun(6); WANG Aihua(1); LIU Hao(1,2); LI Zengsheng(1,2); SUN Fushan(1)
(1) Institute of Tobacco Research of CAAS, Key Laboratory of Tobacco Biology and Processing, Ministry of Agriculture, Qingdao, China; (2) Graduate School of Chinese Academy of Agricultural Sciences (CAAS), Beijing, China; (3) CNTC FuJian Corporation, FuZhou, China; (4) CNTC ShanXi Corporation, XiAn, China; (5) Chongqing Tobacco Science Research Institute, Chongqing, China; (6) Liangshan Tobacco Company of Sichuan Province, Xichang, Sichuan, China
The objective of this study was to quantify the apparent characteristic values of tobacco leaves during the intensive curing process, to grasp the law of changes in water loss, and to achieve precise control of curing process parameters during the...