Data science and AI in food safety

The aim of Wageningen Food Safety Research (WFSR) is to use data science and AI responsibly and effectively to develop new methods in the field of food safety and improve existing ones. As an illustration, WFSR will make smarter use of its own data, including optimising data collection for AI applications. For example, we are developing a device for consistently photographing bacteria on petri dishes, after which an AI model will recognise these bacteria. 

Combine data 
We also focus on multidisciplinary datasets and advanced techniques. For example, we combine data from lab analyses with weather, climate and socio-economic data to better predict food contamination. We also create methods to better identify hazardous substances in our food and apply language models to automatically gather key information from scientific articles and news articles. 

Public
Wherever possible, we make our software and data public.  For example, we recently combined and publicly published all monitoring data from all EU member states - the  CHEFS database- with more than 400 million measurement results.