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Artificial intelligence in the food industry: innovations and applications

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成果类型:
期刊论文
作者:
Hang Yang;Wenxuan Jiao;Lingyun Zouyi;Hongli Diao;Shibin Xia
通讯作者:
Hongli Diao<&wdkj&>Shibin Xia
作者机构:
[Hang Yang; Hongli Diao; Shibin Xia] Hubei Key Laboratory of Mineral Resources Processing and Environment, Wuhan University of Technology, Wuhan, China
[Wenxuan Jiao] School of Chemical and Environmental Engineering, Wuhan Polytechnic University, Wuhan, China
[Lingyun Zouyi] Hubei Junbang Environmental Technology Co., Ltd., Wuhan, China
通讯机构:
[Hongli Diao; Shibin Xia] H
Hubei Key Laboratory of Mineral Resources Processing and Environment, Wuhan University of Technology, Wuhan, China<&wdkj&>Hubei Key Laboratory of Mineral Resources Processing and Environment, Wuhan University of Technology, Wuhan, China
语种:
英文
关键词:
Artificial intelligence;Food traceability;Quality control;Supply chain;Predictive analytics
期刊:
Discover Artificial Intelligence
ISSN:
2731-0809
年:
2025
卷:
5
期:
1
页码:
1-34
基金类别:
This review had no financial support.
机构署名:
本校为其他机构
院系归属:
化学与环境工程学院
摘要:
The integration of artificial intelligence (AI) in the food industry has driven significant advancements in efficiency, safety, and sustainability. This review assesses the current state and future prospects of AI applications in key areas such as food traceability, safety, quality control, supply chain optimization, and intelligent packaging solutions. AI technologies, including machine learning (ML) algorithms and computer vision systems, are widely used to optimize supply chains, predict demand, reduce waste, and enhance food safety and quality monitoring. Advanced ML models are employed to...

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