COMPREHENSIVE REVIEW
Application of artificial intelligence techniques in meat processing: A review
Mingyu Wang,
Xinxing Li,
Mingyu Wang
College of Information and Electrical Engineering, China Agricultural University, Beijing, PR China
Search for more papers by this authorCorresponding Author
Xinxing Li
College of Information and Electrical Engineering, China Agricultural University, Beijing, PR China
Nanchang Institute of Technology, Nanchang, PR China
Correspondence
Xinxing Li, China Agricultural University, Beijing 100083, PR China.
Email: [email protected]
Search for more papers by this authorMingyu Wang,
Xinxing Li,
Mingyu Wang
College of Information and Electrical Engineering, China Agricultural University, Beijing, PR China
Search for more papers by this authorCorresponding Author
Xinxing Li
College of Information and Electrical Engineering, China Agricultural University, Beijing, PR China
Nanchang Institute of Technology, Nanchang, PR China
Correspondence
Xinxing Li, China Agricultural University, Beijing 100083, PR China.
Email: [email protected]
Search for more papers by this authorAbstract
The field of meat processing plays a critical role in the food industry and has seen increasing adoption of artificial intelligence (AI) technology with rapid technological advancements. AI technology has tremendous potential for enhancing production efficiency and product quality in meat processing. However, further research and exploration are necessary to tackle the challenges posed by the use of AI technology. This article details the implementation of AI technology in meat processing, focusing on carcass classification, automation and intelligent processing, and meat-quality detection. We aim to provide inspiration to researchers and industry professionals and promote the advancement of AI technology in the meat processing sector.
Practical applications
Our review article showcases the potential industrial applications of artificial intelligence (AI) techniques in the meat processing industry. AI technology can greatly improve production efficiency and product quality in meat processing. By implementing AI algorithms, meat processors can accurately classify carcasses, automate various processing tasks, and detect meat quality with higher accuracy. These advancements can lead to increased profitability and improved food safety in the industry. We hope to provide valuable insights for researchers and industry professionals, encouraging them to further explore and adopt AI technology in the meat processing sector.
CONFLICT OF INTEREST STATEMENT
The authors declare no conflicts of interest.
Open Research
DATA AVAILABILITY STATEMENT
Data sharing not applicable to this article as no datasets were generated or analysed during the current study.
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