Mavani, Nidhi Rajesh and Mohd Ali, Jarinah and Othman, Suhaili and Hussain, M.A. and Hashim, Haslaniza and Abd Rahman, Norliza (2022) Application of artificial intelligence in food industry—A guideline. Food Engineering Reviews, 14 (1). 134 -175. ISSN 1866-7910, DOI https://doi.org/10.1007/s12393-021-09290-z.
Full text not available from this repository.Abstract
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. © 2021, The Author(s).
| Item Type: | Article |
|---|---|
| Funders: | Universiti Kebangsaan Malaysia [Grant No: GUP-2019-012] |
| Uncontrolled Keywords: | Electronic nose; Electronic tongues; Infrared devices; Intelligent systems; Near infrared spectroscopy; Computer vision system; Control tools; Diverse applications; Food demand; Food industries; Food quality; World population; Electronics industry |
| Subjects: | Q Science > Q Science (General) |
| Divisions: | Faculty of Engineering > Department of Chemical Engineering |
| Depositing User: | Ms. Juhaida Abd Rahim |
| Date Deposited: | 31 Oct 2023 02:19 |
| Last Modified: | 31 Oct 2023 02:19 |
| URI: | http://eprints.um.edu.my/id/eprint/43507 |
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