中国食品学报2023，Vol.23Issue(12)：337-348,12.DOI:10.16429/j.1009-7848.2023.12.034
机器学习在食品贮藏品质预测中的应用
Application of Machine Learning on Food Storage Quality Prediction
摘要
Abstract
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 algo-rithms,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.关键词
食品品质/预测/机器学习/微生物/模型评估Key words
food quality/prediction/machine learning/microorganisms/model evaluation引用本文复制引用
代帅帅,吴伟杰,牛犇,房祥军,陈慧芝,陈杭君,郜海燕..机器学习在食品贮藏品质预测中的应用[J].中国食品学报,2023,23(12):337-348,12.基金项目
"十四五"国家重点研发计划项目(2021YFD2100505) （2021YFD2100505）
