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REVIEW article
Front. Sustain. Food Syst.
Sec. Agro-Food Safety
Volume 9 - 2025 | doi: 10.3389/fsufs.2025.1575430
AI in food industry automation: applications and challenges
Provisionally accepted
Xiaodong Song 1 Xueru Zhang 1 Guanjun Dong 1
Haohan Ding 1* Xiaohui Cui 2 Yu Han 1 Huadi Huang 1 Long Wang 1- 1 Jiangnan University, Wuxi, China
- 2 Wuhan University, Wuhan, Hubei Province, China
In automated production and processing technologies in the food industry, artificial intelligence (AI) plays a key role. The use of intelligent automation technology in multiple production processes not only greatly improves production efficiency, but also ensures the safety and quality of food products, which has great potential for the innovative revolution in the food industry. This paper provides an overview of AI technology and its potential applications in food industry automation, focusing on its use in food safety testing, production processing, production data analysis and prediction, and demonstrating the benefits of increased efficiency, reduced costs and improved product quality. However, the power of AI technology for the food industry has also prompted consideration of the possibilities and limitations of introducing intelligent food automation processing equipment or systems into food business applications. The aim of this paper is to provide ideas and guidance to governments, researches and food industry personnels in the hope of encouraging and accelerating the development of AI technology in food production and processing.
Keywords: artificial intelligence, Automation, machine learning, Food Industry, Industrial intelligence
Received: 12 Feb 2025; Accepted: 02 Apr 2025.
Copyright: © 2025 Song, Zhang, Dong, Ding, Cui, Han, Huang and Wang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Haohan Ding, Jiangnan University, Wuxi, China
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.