Mavani Nidhi Rajesh, Ali Jarinah Mohd, Othman Suhaili, Hussain M A, Hashim Haslaniza, Rahman Norliza Abd
Department of Chemical and Process Engineering, Faculty of Engineering & Built Environment, Universiti Kebangsaan Malaysia, UKM, Selangor 43600 Bangi, Malaysia.
Department of Biological and Agricultural Engineering, Faculty of Engineering, Universiti Putra Malaysia, UPM Serdang, 43400 Selangor, Malaysia.
Food Eng Rev. 2022;14(1):134-175. doi: 10.1007/s12393-021-09290-z. Epub 2021 Aug 9.
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
在过去几十年里,由于随着世界人口增长食品需求不断上升,人工智能(AI)已成为食品行业的最新技术。上述智能系统在食品质量测定、控制工具、食品分类和预测等各种任务中的能力,增强了它们在食品行业的需求。因此,本文回顾了这些不同的应用,比较它们的优点、局限性和公式,作为选择最合适方法以促进未来人工智能与食品行业相关发展的指南。此外,还强调了该系统与电子鼻、电子舌、计算机视觉系统和近红外光谱(NIR)等其他设备的集成,所有这些都将使行业参与者和消费者受益。