Food safety continues to threaten public health. Machine learning holds potential in
leveraging large, emerging data sets to improve the safety of the food supply and mitigate …

Modelling in food microbiology has become an indispensable approach in food safety to
generate predictions about the microbial behaviour. One of its weaknesses is the lack of …

Food production is a complex process where uncertainty is very relevant (eg stochastic yield
and demand, variability in raw materials and ingredients…), resulting in differences between …

Ensuring food safety, particularly for vulnerable groups, like infants and young children,
requires identifying and prioritizing potential hazards in food chains. We previously …

Non-typhoidal Salmonella is an important causative agent of diarrheal illness worldwide. A
systematic review and meta-analysis of case-control studies were performed to determine …

Pseudomonas aeruginosa is a Gram-negative bacillus associated with waterborne
diseases. The objective of this study was to determine whether particular P. aeruginosa …

Food safety has a major correlation with health related to the public. Machine learning can
be a great help for large volume and emerging data sets to enhance the safety of the food …

Food supply stability is crucial to ensuring food security for economies, especially those with
insufficient domestic food production. To safeguard against potential shortages, food imports …

近年来, 随着我国经济的快速发展和在我国“一带一路” 发展战略大背景下, 云南与周边邻国(越南,
缅甸, 老挝) 的边境贸易发展日益加快, 其中民互市进口食品为边境贸易的重要组成部分 …

Unsafe food poses global health threats, potentially endangering consumers. The great
majority of people will experience a food‐borne disease at some point in their lives. Ready …