A dataset on Listeria monocytogenes has been compiled from over 1,400 genomes collected across 19 European nations to better understand the pathogen’s genetic makeup and adaptation in different ecological niches.

Researchers from San Diego State University, Virginia Tech, Loyola Marymount University, and Radford University are using text mining to try to pinpoint unique words and phrases in posts online, which identify consumers' experiences with hazardous food products. 

Food safety technology, including data collection and reporting, plays an important part from the beginning to the end of the production process.

Industrial IoT technology gives food manufacturers and the food service industry real-time data to identify problems, reduce waste and prevent expensive, brand-damaging outbreaks and recalls.