
Digital Twin Models Integrated AI for Food Safety Across the Supply Chain
Description
SIGNIFICANCE
The proposed multidisciplinary project will develop a framework for an integrated smarter food safety that achieves a vertical integration of AI systems for food safety across the supply chain in order to predict and assess the food safety risk in the food product at consumption (at the end of the supply chain) based on a holistic view of the entire supply chain.
GOALS
This proposal aims to enhance resiliency of the food supply chain through integration of food-safety AI systems and data analytics across different segments of the food supply chain, characterized by different requirements for privacy guarantees.
Team

Renata Ivanek
Principal Investigator

Jayadev Acharya
Co Principal Investigator

Martin Wiedmann
Co Principal Investigator

Qing Zhao
Co Principal Investigator

Tarek Zohdi
Collaborator

Nitin Nitin
Collaborator

Aaron Smith
Collaborator
Publications

Examining Patterns of Persistent Listeria Contamination in Packinghouses Using Agent-Based Models

Using Agent-based Modeling to Compare Corrective Actions for Listeria Contamination in Produce Packinghouses
