Applications of Artificial Intelligence and Machine Learning in Food Quality Control and Safety Assessment

To ensure food safety and uphold high standards, the food business must overcome significant obstacles. In recent years, promising answers to these issues have emerged in the form of artificial intelligence (AI) and machine learning (ML). This thorough review paper analyses the various uses of AI an...

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Bibliographic Details
Published in:	Food engineering reviews Vol. 16; no. 1; pp. 1 - 21
Main Author:	Chhetri, Krishna Bahadur
Format:	Journal Article
Language:	English
Published:	New York Springer US 01.03.2024 Springer Nature B.V
Subjects:	Allergies Anomalies Artificial intelligence Chemical pollutants Chemical pollution Chemistry Chemistry and Materials Science Chemistry/Food Science compliance Computer vision Consistency consumer demand Data analysis data quality Deep learning Food industry Food quality Food safety Food Science Food technology Health risks Industrial safety Learning algorithms Machine learning Microorganisms Monitoring Natural language processing nutrition Pattern recognition people Public health Quality assessment Quality control Quality management Regulatory approval Risk reduction Safety safety assessment Safety management Deep learning Computer vision Food quality control Food safety assessment Artificial intelligence Machine learning
ISSN:	1866-7910, 1866-7929
Online Access:	Get full text
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