Application of Artificial Intelligence in Food Industry—a Guideline

被引:0
|
作者
Nidhi Rajesh Mavani
Jarinah Mohd Ali
Suhaili Othman
M. A. Hussain
Haslaniza Hashim
Norliza Abd Rahman
机构
[1] Universiti Kebangsaan Malaysia,Department of Chemical and Process Engineering, Faculty of Engineering & Built Environment
[2] Universiti Putra Malaysia,Department of Biological and Agricultural Engineering, Faculty of Engineering
[3] UPM Serdang,Department of Chemical Engineering, Faculty of Engineering
[4] University of Malaya,Department of Food Sciences, Faculty of Science & Technology
[5] Universiti Kebangsaan Malaysia,undefined
来源
Food Engineering Reviews | 2022年 / 14卷
关键词
AI in food industry; Review; NIR; Food sensors; Model development guidelines;
D O I
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中图分类号
学科分类号
摘要
Artificial intelligence (AI) has embodied the recent technology in the food industry over the past few decades due to the rising of food demands in line with the increasing of the world population. The capability of the said intelligent systems in various tasks such as food quality determination, control tools, classification of food, and prediction purposes has intensified their demand in the food industry. Therefore, this paper reviews those diverse applications in comparing their advantages, limitations, and formulations as a guideline for selecting the most appropriate methods in enhancing future AI- and food industry–related developments. Furthermore, the integration of this system with other devices such as electronic nose, electronic tongue, computer vision system, and near infrared spectroscopy (NIR) is also emphasized, all of which will benefit both the industry players and consumers.
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页码:134 / 175
页数:41
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