THE ROLE OF ARTIFICIAL INTELLIGENCE IN ENHANCING FOOD SAFETY AND QUALITY CONTROL

dc.contributor.authorRakhmonov Erkinjon
dc.contributor.authorKabilov Feruz
dc.date.accessioned2025-12-29T12:11:34Z
dc.date.issued2024-05-30
dc.description.abstractArtificial intelligence (AI) is revolutionizing the food industry by providing innovative solutions for enhancing food safety and quality control. This article explores the various applications of AI in improving food safety standards, detecting contaminants, predicting shelf life, and optimizing production processes. By harnessing the power of AI technologies such as machine learning, computer vision, and natural language processing, food manufacturers can ensure that their products meet regulatory requirements and consumer expectations. Furthermore, the integration of AI in quality control procedures is enabling realtime monitoring and rapid response to potential issues, ultimately leading to a more efficient and reliable food supply chain
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dc.identifier.urihttps://westerneuropeanstudies.com/index.php/1/article/view/1025
dc.identifier.urihttps://asianeducationindex.com/handle/123456789/18227
dc.language.isoeng
dc.publisherWestern European Studies
dc.relationhttps://westerneuropeanstudies.com/index.php/1/article/view/1025/671
dc.rightsCopyright (c) 2024 Western European Journal of Modern Experiments and Scientific Methods
dc.rightshttps://creativecommons.org/licenses/by-nc/4.0
dc.sourceWestern European Journal of Modern Experiments and Scientific Methods; Vol. 2 No. 5 (2024): WEJMESM; 233-236
dc.source2942-1896
dc.subjectArtificial intelligence
dc.subjectFood safety
dc.subjectQuality control
dc.titleTHE ROLE OF ARTIFICIAL INTELLIGENCE IN ENHANCING FOOD SAFETY AND QUALITY CONTROL
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion
dc.typePeer-reviewed Article

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