Published in Scientific Papers. Series "Management, Economic Engineering in Agriculture and rural development", Vol. 25 ISSUE 3
Written by Olga DRĂGHICI

This study conducts a bibliometric analysis and narrative review of the impact of artificial intelligence (AI) on the meat industry from 2000 to 2023, using data from the Scopus and Web of Science databases. The results indicate a significant increase in AI research within the meat industry, with a particular emphasis on computer vision, machine learning, and deep learning. China and the USA are the leading contributors to this research, and keywords such as "meat," "quality," and "prediction" frequently appear in discussions. AI has been effectively applied in areas such as image processing, quality assurance, supply chain optimization, and predictive improvement. Emerging technologies like blockchain and computer vision have enhanced traceability and food safety. The analysis also highlights a growing interest in using machine learning and deep learning for meat deficiency detection, unauthorized activity monitoring. Although it offers numerous advantages, the integration of AI in the meat industry faces challenges, including data complexity, stringent regulations, high initial implementation costs, and the absence of standardized protocols, which limit interoperability. Successful integration of AI requires a balanced approach that combines human expertise with machine capabilities.

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