Research on the application methods of classifying and recognizing Baijiu wine based on deep learning

Authors

LIU Xin, School of Automation and Information Engineering, Sichuan University of Light Chemical Technology, Zigong, Sichuan 643000, China; Sichuan Provincial Key Laboratory of Artificial Intelligence, Zigong, Sichuan 643000, China
HAN Qiang, School of Automation and Information Engineering, Sichuan University of Light Chemical Technology, Zigong, Sichuan 643000, China; Sichuan Provincial Key Laboratory of Artificial Intelligence, Zigong, Sichuan 643000, China; Luzhou Laojiao Group Co., Ltd., Luzhou, Sichuan 646000, China
ZHOU Yong-shuai, School of Automation and Information Engineering, Sichuan University of Light Chemical Technology, Zigong, Sichuan 643000, China; Sichuan Provincial Key Laboratory of Artificial Intelligence, Zigong, Sichuan 643000, China
TUO Xian-guo, School of Automation and Information Engineering, Sichuan University of Light Chemical Technology, Zigong, Sichuan 643000, China; Sichuan Provincial Key Laboratory of Artificial Intelligence, Zigong, Sichuan 643000, China

Abstract

A deep learning-based model for the classification and prediction of Baijiu wine brands is developed, combining with the Tensorflow and Keras frameworks. The test sample data set is established by collecting the feature information of Baijiu wine to be tested through an electronic tongue (an array sensor), combining the known Baijiu wine categories with that of the unknow one (to be test). Then the deep learning-based Baijiu wine brand classification prediction model was trained and tested for, preparing for the performance by using the trainedand tested sets. The results showed that the prediction model achieves 99.987% of Baijiu wine brand recognition rate, showing a high accuracy.

Publication Date

4-28-2021

First Page

68

Last Page

71,79

DOI

10.13652/j.issn.1003-5788.2021.04.012

Recommended Citation

Xin, LIU; Qiang, HAN; Yong-shuai, ZHOU; and Xian-guo, TUO (2021) "Research on the application methods of classifying and recognizing Baijiu wine based on deep learning," Food and Machinery: Vol. 37: Iss. 4, Article 12.
DOI: 10.13652/j.issn.1003-5788.2021.04.012
Available at: https://www.ifoodmm.cn/journal/vol37/iss4/12

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