By Agroknow.
AI enables more resilient food systems by improving risk anticipation, supporting transparent governance, and strengthening proactive food safety strategies.
AI gathers expert insights on how AI can help Europe anticipate and mitigate food‑system risks, advancing a shared ambition for resilient and trustworthy food safety.
To shape this publication, we invited leading academics, industry specialists, and researchers from Horizon Europe projects and international organisations. Their contributions span three core thematic areas:
– AI Methods and Autonomous Systems, exploring how predictive models and autonomous systems detect complex risks in real time;
– Food Safety and Agriculture Applications, showcasing how AI strengthens traceability, hazard forecasting, and supply chain transparency; and
– Cross Disciplinary Science and Technology, enabling interoperability, trustworthy AI, and coordinated risk intelligence across sectors.
AI is rapidly evolving from a tool that explains what happened to a capability that predicts what may happen next. As illustrated in the foreword by Prof. Saskia van Ruth, a single temperature deviation in a spinach shipment can now trigger automated early warnings and prevent a potential food safety incident, quietly, proactively, and in real time. This shift signals a broader transformation toward connected
How can AI help Europe move from reactive food safety practices to systems that act before risks materialise?
Read the discussion paper to explore
- how predictive AI and autonomous systems can detect anomalies and hazards earlier
- how AI is being applied across agriculture, processing, logistics, and regulatory oversight
- why interoperable data spaces and multimodal sensing are essential for coordinated risk intelligence
- how explainable, privacy preserving, and uncertainty aware AI builds trust in high stakes decisions
- what a resilient, AI enabled food system could look like by 2035, from digital twins to cross border early warning networks
