TY - JOUR
T1 - Redefining food safety: the confluence of Web 3.0 and AI technologies in the meat supply chain: a systematic review
AU - Issa, Aline
AU - Mekanna, Alexandria Nivelle
AU - Doumit, Jacqueline
AU - Bou-Mitri, Christelle
PY - 2024
Y1 - 2024
N2 - Web 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.
AB - Web 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.
KW - Artificial intelligence
KW - food safety
KW - meat
KW - supply chain
KW - Web 3
UR - http://www.scopus.com/inward/record.url?scp=85189618109&partnerID=8YFLogxK
UR - https://ezproxy.uws.edu.au/login?url=https://doi.org/10.1111/ijfs.17168
U2 - 10.1111/ijfs.17168
DO - 10.1111/ijfs.17168
M3 - Article
AN - SCOPUS:85189618109
SN - 0950-5423
VL - 59
SP - e1-e14
JO - International Journal of Food Science and Technology
JF - International Journal of Food Science and Technology
IS - 9
ER -