Application of Machine Learning on Food Storage Quality Prediction

被引：0
作者：
Dai S. [1 ]
Wu W. [1 ,2 ]
Niu B. [1 ]
Fang X. [1 ]
Chen H. [1 ]
Chen H. [1 ]
Cao H. [1 ]
机构：
[1] Institute of Food Science, Zhejiang Academy of Agricultural Sciences, Key Laboratory of Post-Harvest Fruit Processing, Key Laboratory of Post-Harvest Vegetable Preservation and Processing, Ministry of Agriculture and Rural Affairs, Key Laboratory of Fruit
[2] State Key Laboratory for Managing Biotic and Chemical Threats, the Quality and Safety of Agro-products, Hangzhou
来源：
Journal of Chinese Institute of Food Science and Technology | 2023年 / 23卷 / 12期
关键词：
food quality; machinelearning; microorganisms; modelevaluation; prediction;
D O I：
10.16429/j.1009-7848.2023.12.034
中图分类号：
学科分类号：
摘要：
During the process of food storage and circulation, there will be different degrees of quality deterioration. With the improvement of people's attention to food quality and safety, it is of great significance to carry out quality prediction research in the process of food storage and transportation for quality control. This paper reviews the research progress of machine learning in food storage quality prediction, including conventional quality prediction methods and limitations, and then focuses on the rapid development and wide application of integrated learning and artificial neural network algorithms, and prediction performance evaluation methods in recent years. Finally, it summarizes and looks forward to the future development trend of machine learning in the food field, and provides relevant references for the development of food science cross research. © 2023 Chinese Institute of Food Science and Technology. All rights reserved.
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收藏
页码：337 / 348
页数：11
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