Category Research project
  • Mikrobiologie
  • Risikokommunikation

Bridging Knowledge, Communication, and Action for Food Safety in a Changing Climate

Project status
In Progress
Project start
Nov 2024
Project end
Oct 2027
Acronym
AMBROSIA
Department
Informationstechnik

Description and Objective

The overall aim of the Ambrosia project is to transform the European approach to food safety with regard to the impacts of climate change. The project will develop, deploy and test a platform for the integration of climate data with food safety data to monitor, communicate and predict risks and threats to food safety from climate change events or processes. The Ambrosia project will support the current shift towards a much greater use of digital sensors in the monitoring of food risks and hazards and, by working closely with agri-food and climate modeling and forecasting stakeholders, will enable the prediction of likely novel sources of risk and hazards for the main food groups consumed by EU citizens. A variety of data sources will be used (from the European Commission's RASSF database to climate model datasets such as CMIP). The Ambrosia project builds on the core results of the DiTECT project and uses a multi-stakeholder research approach to fully exploit the use of AI techniques (deep learning for predictive modeling) in the field of food safety. The project partners have uniquely collected data from the entire production phase in four agricultural sectors, providing a rich foundation. In addition, the project will involve a selection of key stakeholders, including researchers, food companies, technology providers and government agencies.
Type of project

Third-party funded project

BFR research focus

Gesundheit von Mensch, Tier und Umwelt (One Health)

Organisational units and partners

Lead specialist group: Warenkettenmodellierungen und Künstliche Intelligenz (1IZ)
Contact persons: Matthias Filter, Dr. Michael Zarske
External partner: Universität Maastricht, E1 Data Science LTD

Funding body and grant number

Europäische Union
Grant Agreement 101181300