The goal of this study is to develop an innovative big data analytics infrastructure for the modeling of fresh produce safety risks and the early warning of fresh produce safety outbreaks. The resulting infrastructure applies state-of-the-art cyber-informatics technologies that leverage multi-source big data, including social media, news media, and government reports, to reduce the incidence of foodborne diseases associated with the consumption of fresh produce.
Fact: Innovative Big Data Analytics Technology For Microbiological Risk Mitigation Assuring Fresh Produce Safety
Objective
Investigators
Feng, H
Institution
University of Illinois
Start date
2020
End date
2023
Funding Source
Project number
ILLU-698-638
Accession number
1023720