Application of artificial intelligence techniques in meat processing: A review

被引:6
|
作者
Wang, Mingyu [1 ]
Li, Xinxing [1 ,2 ,3 ]
机构
[1] China Agr Univ, Coll Informat & Elect Engn, Beijing, Peoples R China
[2] Nanchang Inst Technol, Nanchang, Peoples R China
[3] China Agr Univ, Beijing 100083, Peoples R China
关键词
artificial intelligence technology; automation; carcass classification; meat; processing; quality inspection; COMPUTER VISION; NEURAL-NETWORK; QUALITY; SYSTEM; CLASSIFICATION; IDENTIFICATION; TECHNOLOGIES; CONTAMINANTS; PREDICTION;
D O I
10.1111/jfpe.14590
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
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 applicationsOur 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. Our study delves into the application of AI technology in pivotal areas, including carcass categorization, automation, intelligent processing, and the detection of meat quality. Our study is expected to inspire further research on AI technology in the meat processing industry and provide a reference for researchers. image
引用
收藏
页数:11
相关论文
共 50 条
  • [21] Application of Artificial Intelligence Techniques to a Sensorial Module
    Pimentel, Joao C.
    Goncalves, Artur F.
    Pinto, Vitor H.
    2024 10TH INTERNATIONAL CONFERENCE ON MECHATRONICS AND ROBOTICS ENGINEERING, ICMRE, 2024, : 22 - 27
  • [22] Application of Artificial Intelligence Techniques to Economic Planning
    Ratiu, Ioan-Gheorghe
    Carstea, Claudia-Georgeta
    Plesea, Doru
    Patrascu, Lucian
    PROCEEDINGS OF THE 8TH WSEAS INTERNATIONAL CONFERENCE ON TELECOMMUNICATIONS AND INFORMATICS, 2009, : 112 - +
  • [23] Application of artificial intelligence algorithms in image processing
    Xin Zhang
    Wang Dahu
    JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION, 2019, 61 : 42 - 49
  • [24] Application of Artificial Intelligence Algorithms for Image Processing
    Boyko, Nataliya
    Bronetskyi, Andriy
    Shakhovska, Nataliya
    MOMLET&DS-2019: MODERN MACHINE LEARNING TECHNOLOGIES AND DATA SCIENCE, 2019, 2386 : 194 - 211
  • [25] A comprehensive review of techniques for documenting artificial intelligence
    Koenigstorfer, Florian
    DIGITAL POLICY REGULATION AND GOVERNANCE, 2024, 26 (05) : 545 - 559
  • [26] A Review on Artificial Intelligence Techniques in Electrical Drives
    Sakunthala, S.
    Kiranmayi, R.
    Mandadi, P. Nagaraju
    PROCEEDINGS OF THE 2017 INTERNATIONAL CONFERENCE ON SMART TECHNOLOGIES FOR SMART NATION (SMARTTECHCON), 2017, : 11 - 16
  • [27] Artificial Intelligence Based Optimization Techniques: A Review
    Swarnkar, Agrani
    Swarnkar, Anil
    INTELLIGENT COMPUTING TECHNIQUES FOR SMART ENERGY SYSTEMS, 2020, 607 : 95 - 103
  • [28] Artificial intelligence techniques for photovoltaic applications: A review
    Mellit, Adel
    Kalogirou, Soteris A.
    PROGRESS IN ENERGY AND COMBUSTION SCIENCE, 2008, 34 (05) : 574 - 632
  • [29] A REVIEW OF KALMAN FILTER WITH ARTIFICIAL INTELLIGENCE TECHNIQUES
    Kim, Sukkeun
    Petrunin, Ivan
    Shin, Hyo-Sang
    2022 INTEGRATED COMMUNICATION, NAVIGATION AND SURVEILLANCE CONFERENCE (ICNS), 2022,
  • [30] A review of artificial intelligence techniques for selection & evaluation
    Ahmad, Ijaz
    Liu, Yan
    Javeed, Danish
    Shamshad, Nadia
    Sarwr, Danish
    Ahmad, Shahab
    2020 6TH INTERNATIONAL CONFERENCE ON ELECTRICAL ENGINEERING, CONTROL AND ROBOTICS (EECR 2020), 2020, 853