Food Safety and Quality under the Auspices of Data Science

Oct 24, 2023 (9:00 AM - 10:00 AM Eastern Time)

Webinar Description

Organized by: Modelling and Risk Analysis PDG

The current controls in the food value chain are commonly inadequately applied, and thus fail to prevent microbial contamination of food products, compromising consumer confidence in food safety and quality. On the other hand, to meet market demands food business operators (producers, retailers, resellers) and regulators need to develop and apply structured quality and safety assurance systems, based on thorough risk analysis and prevention, through monitoring, recording and controlling of critical parameters covering the entire product’s life cycle. However, the production, supply, and processing sectors of the food chain are fragmented and this lack of cohesion results in failure to adopt new and innovative technologies, products and processes. The potential of using information technologies (e.g., data repositories in cloud platforms) in tandem with data science (data mining, pattern recognition, uncertainty modelling, artificial intelligence etc.), throughout the farm-to-fork continuum, will provide stakeholders with novel tools regarding the implementation of more efficient than the currently applied food safety management systems.