Skip to content Skip to footer

Defending Food Systems
through Science
and Innovation

DEFENSEFOOD:
Detection and Enhanced Food Safety and Security
through Efficient Networks for Supply Chain Enhancement

DEFENSEFOOD aims to strengthen Europe’s food supply chain against chemical, biological, and radiological threats (CBR). It will develop advanced detection tools, preparedness protocols, and recovery strategies, combining scientific research, innovative technologies, and insights from crises. The project’s goal is to safeguard public health, ensure food security, and support economic stability.

Key objectives

The project’s main objectives are structured around six pillars

01

Novel AI-driven tool

Adapt and develop a novel, AI-driven, evidence-based scanning dashboard to anticipate changes in the food system environment

02

Rapid detection

Develop rapid detection methods, integrating novel targeted and untargeted analysis tools and leveraging monitoring systems in EU member states

03

Impact reduction

Identify, develop, and test methodologies for reducing the impact of CBR threats on the food supply chain while enhancing the chain’s recovery potential

04

Response mechanism

Optimise coordination among EU and international security authorities, improving cross-border response mechanisms to food terrorism threats

05

Decision-support tools

Create knowledge management and decision-support tools to enable early detection, impact reduction and fast recovery of the supply chain from food contamination crises

06

Improve awareness

Improve awareness and preparedness of food system actors (mainly authorities and SMEs) to CBR threats through targeted training and capacity-building initiatives

APPROACHDEFENSEFOOD

| Predict | Detect | Adapt | Protect

Agriculture IoT with rice field background
APPROACH

Resilience across
the food chain

DEFENSEFOOD employs a multi-disciplinary research methodology to address the complex challenges of CBR threats in food systems.

The project will establish resilience across the food chain by leveraging predictive and simulation models, state-of-the-art detection technologies, effective response and recovery protocols, social science methodologies, knowledge management, and multi-stakeholder capacity building.

Three food supply Use Cases to test intervention methods
Advanced predictive analytic tools
A broad and novel CBR screening and identification pipeline
Enhanced Safety Assurance Systems
Laboratory Based Techniques
Knowledge Management Systems
What we do

Adapting the oil industry to renewable energy trends

the team

Meet our top engineers and experts

Feedback

What our clients say

From our blog

Recent news

Sign up for our newsletter

Get our project news as soon as they happen