Redefining food safety: the confluence of Web 3.0 and AI technologies in the meat supply chain—a systematic review

Abstract

SummaryWeb 3.0 and artificial intelligence (AI) have presented unprecedent impact on the food sector. However, there is no clear scientific description yet related to their influences on food safety, quality and traceability across the meat supply chain. This study systematically reviews the available data pertaining to Web 3.0 and related novel technologies, their possible use in the meat supply chain and their confluent effect on meat safety. This systematic review followed the PRISMA methodology. The articles selected were identified by searching three databases: Scopus, Web of Science and PubMed. The search results showed that the meat industry and the meat supply chain have their share of positive implications instigated by Web 3.0 technologies. Web 3.0 technologies are shown to be effective for the food safety of meat from farm to fork, particularly in inspection and quality assessment with blockchain integration enhancing transparency and traceability with innovative approaches promising to improve meat safety, increase profitability, efficiency, scalability and modularisation of meat manufacturing in addition to better adherence to animal welfare increasing thus consumer's confidence. Further research is still, needed to examine the role of such technologies at the level of other parts of the supply chain including the pre‐processing step, processing and packaging.