Project description
Preparing for climate-induced food safety risks
Ambrosia aims to transform the European approach to food safety in view of the impacts of climate change. It will enable a holistic systemic approach to food safety risk assessment across the supply chain with the use of digital technologies including AI. Bridging the knowledge of agrifood and climate modelling and forecasting and the insights of scientists and experts in food predictive microbiology and risk assessment, the EU-funded Ambrosia project will make possible the modelling of climate change risks and their impact on food safety from farm to fork in four major biogeographical regions within Europe. Using a multi-actor approach, Ambrosia will raise awareness, provide strategic advice and encourage the use of the Ambrosia platform for regional and local assessments.
Objective
AMBROSIA aims to transform the European approach to food safety in view of the impacts of climate change. It will enable for the first time a holistic systemic approach to food safety risk assessment across the supply chain in view of climate change models with the use of digital technologies including AI. Bridging the knowledge of agrifood and climate modelling and forecasting scientists and experts in food predictive microbiology and risk assessment, AMBROSIA will make possible the modelling of climate change risks (individual and cumulative) and their impact on food safety from farm to fork in 4 major biogeographical regions within Europe (Atlantic, Boreal, Continental and Mediterranean) as well as the prediction of likely novel sources of risk and hazards across key food groups consumed by EU citizens. First the project will develop a tailor made holistic Risk Assessment methodological framework for the study of climate change impact on food safety. The use of spatio-temporal climate model projections will be integrated with models of food safety hazards to enable the development of detailed predictive models. Then a digital platform will be developed and deployed for the integration of climate model projections with food safety data for the purposes of prediction and monitoring of food safety risks and hazards emanating from climate change events or processes, as well as for the communication of mitigation/adaptation measures. Extensive use will be made of a variety of data sources to enable the use of AI techniques (deep learning for predictive modelling) to be fully used in the food safety domain. The project will focus on Fusarium mycotoxins, a recognised hazard from grains (wheat, oat, barley, corn) and derived products, and enteric pathogens (Salmonella, E. coli) in fresh produce (vegetables and salads). Using a multi-actor approach, AMBROSIA will raise awareness, and provide strategic advice on mitigation and adaptation strategies.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
- agricultural sciencesagriculture, forestry, and fisheriesagriculturegrains and oilseeds
- agricultural sciencesagriculture, forestry, and fisheriesagriculturehorticulturevegetable growing
- social sciencessociologygovernancecrisis management
- natural sciencesbiological sciencesmicrobiology
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Programme(s)
Funding Scheme
HORIZON-RIA - HORIZON Research and Innovation ActionsCoordinator
6200 MD Maastricht
Netherlands