Floor van Meer, Masami Takeuchi, Phillis E Ochieng, Raffaella Tavelli, Arjen Gerssen, Bas H M van der Velden
{"title":"Artificial intelligence in food safety.","authors":"Floor van Meer, Masami Takeuchi, Phillis E Ochieng, Raffaella Tavelli, Arjen Gerssen, Bas H M van der Velden","doi":"10.1038/s41538-026-00925-1","DOIUrl":null,"url":null,"abstract":"<p><p>Artificial Intelligence (AI) is revolutionizing many fields including food safety. In food safety, the available data generated within the agrifood systems can potentially feed into AI applications. This review presents an overview of the use of AI in different fields of food safety. The study introduces a framework of AI in food safety, focusing on the research domain, application context, data collection method, and AI technique. The AI tool ASReview, which uses active learning to select top-priority papers, was used to conduct the study in a systematic way. Over 150 peer-reviewed journal publications were reviewed and described according to this framework. The review concludes with a summary of the challenges for AI in food safety and an outlook of future opportunities for AI in food safety.</p>","PeriodicalId":19367,"journal":{"name":"NPJ Science of Food","volume":" ","pages":""},"PeriodicalIF":9.7000,"publicationDate":"2026-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13619553/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"NPJ Science of Food","FirstCategoryId":"97","ListUrlMain":"https://doi.org/10.1038/s41538-026-00925-1","RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"FOOD SCIENCE & TECHNOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Artificial Intelligence (AI) is revolutionizing many fields including food safety. In food safety, the available data generated within the agrifood systems can potentially feed into AI applications. This review presents an overview of the use of AI in different fields of food safety. The study introduces a framework of AI in food safety, focusing on the research domain, application context, data collection method, and AI technique. The AI tool ASReview, which uses active learning to select top-priority papers, was used to conduct the study in a systematic way. Over 150 peer-reviewed journal publications were reviewed and described according to this framework. The review concludes with a summary of the challenges for AI in food safety and an outlook of future opportunities for AI in food safety.
期刊介绍:
npj Science of Food is an online-only and open access journal publishes high-quality, high-impact papers related to food safety, security, integrated production, processing and packaging, the changes and interactions of food components, and the influence on health and wellness properties of food. The journal will support fundamental studies that advance the science of food beyond the classic focus on processing, thereby addressing basic inquiries around food from the public and industry. It will also support research that might result in innovation of technologies and products that are public-friendly while promoting the United Nations sustainable development goals.