Application of Artificial Intelligence in Food Industry-a Guideline

被引：126

作者：

Mavani, Nidhi Rajesh ^{[1
]}

Ali, Jarinah Mohd ^{[1
]}

Othman, Suhaili ^{[1
,2
]}

Hussain, M. A. ^{[3
]}

Hashim, Haslaniza ^{[4
]}

Abd Rahman, Norliza ^{[1
]}

机构：

[1] Univ Kebangsaan Malaysia, Fac Engn & Built Environm, Dept Chem & Proc Engn, UKM, Bangi 43600, Selangor, Malaysia

[2] Univ Putra Malaysia, Fac Engn, Dept Biol & Agr Engn, UPM, Serdang 43400, Selangor, Malaysia

[3] Univ Malaya, Fac Engn, Dept Chem Engn, Kuala Lumpur 50603, Malaysia

[4] Univ Kebangsaan Malaysia, Fac Sci & Technol, Dept Food Sci, UKM, Bangi 43600, Malaysia

来源：

FOOD ENGINEERING REVIEWS | 2022年 / 14卷 / 01期

关键词：

AI in food industry; Review; NIR; Food sensors; Model development guidelines; NEAR-INFRARED-SPECTROSCOPY; COMPUTER VISION SYSTEM; MACHINE LEARNING TECHNIQUES; NEURAL-NETWORK METHOD; FUZZY-LOGIC; ELECTRONIC-NOSE; QUALITY ASSESSMENT; EXPERT-SYSTEM; SENSORY EVALUATION; SAFETY EVALUATION;

D O I：

10.1007/s12393-021-09290-z

中图分类号：

TS2 [食品工业];

学科分类号：

0832 ;

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.

引用

页码：134 / 175

页数：42

共 266 条

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