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Intelligent recognition of the fermentation stage of baijiu based on multi-dimensional data fusion and interpretable machine learning.

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Title: Intelligent recognition of the fermentation stage of baijiu based on multi-dimensional data fusion and interpretable machine learning.
Authors: Du L; Liquor Making Biotechnology and Intelligent Manufacturing of Key Laboratory of China National Light Industry, Sichuan University of Science and Engineering, Yibin 644005, People's Republic of China; School of Mechanical Engineering, Sichuan University of Science and Engineering, Yibin 644005, People's Republic of China., Zhou J; Liquor Making Biotechnology and Intelligent Manufacturing of Key Laboratory of China National Light Industry, Sichuan University of Science and Engineering, Yibin 644005, People's Republic of China; School of Mechanical Engineering, Sichuan University of Science and Engineering, Yibin 644005, People's Republic of China; Chengdu-Chongqing Economic Circle (Lu Zhou) Advanced Technology Research Institute, Luzhou 646000, People's Republic of China; School of Electrical, Computer and Telecommunications Engineering, University of Wollongong, New South Wales 2522, Australia. Electronic address: zhou1987g@163.com., Tang Y; Chengdu-Chongqing Economic Circle (Lu Zhou) Advanced Technology Research Institute, Luzhou 646000, People's Republic of China., Liu X; Chengdu-Chongqing Economic Circle (Lu Zhou) Advanced Technology Research Institute, Luzhou 646000, People's Republic of China., Zhong J; Chengdu-Chongqing Economic Circle (Lu Zhou) Advanced Technology Research Institute, Luzhou 646000, People's Republic of China., Yang B; Zui Qingfeng Co., Ltd., Luzhou 646000, People's Republic of China., He Y; Luzhou Municipal Advisory Committee, Luzhou 646000, People's Republic of China., Tuo X; School of Automation and Information Engineering, Sichuan University of Science and Engineering, Yibin 644005, People's Republic of China., Du H; School of Electrical, Computer and Telecommunications Engineering, University of Wollongong, New South Wales 2522, Australia.
Source: Food research international (Ottawa, Ont.) [Food Res Int] 2026 Apr 01; Vol. 229, pp. 118451. Date of Electronic Publication: 2026 Jan 17.
Publication Type: Journal Article
Journal Info: Publisher: Published on behalf of the Canadian Institute of Food Science and Technology by Elsevier Applied Science Country of Publication: Canada NLM ID: 9210143 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1873-7145 (Electronic) Linking ISSN: 09639969 NLM ISO Abbreviation: Food Res Int Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1873-7145
DOI:10.1016/j.foodres.2026.118451