Agroknow Open Day Showcases Food Risk Prevention
The Agroknow Open Day was held on 19 June 2025 in Thessaloniki and online. As part of the STELAR project’s final activities, this event focused on showcasing the results of Pilot A: Risk Prevention in Food Supply Lines.
This Agroknow Open Day formed part of a joint workshop titled AI for Food Risk Prevention, co-organised by ATECluster, Agroknow, and Rainno, with support from the HORIZON EFRA and HOLiFOOD projects.
The Need Behind the Pilot
Modern food supply chains generate an overwhelming volume of data. Farmers, authorities, companies, and consumers all contribute to a growing ecosystem – yet most of this data remains fragmented. What use is vast information if it cannot be brought together and understood?
The STELAR pilot, led by Agroknow, addressed this very challenge. It focused on using advanced data management methods to generate integrated, AI-ready datasets for food risk prediction. This work enables risk analysts to perform more complete and timely assessments, understanding emerging risks better and protecting the consumers.
Inside the Agroknow Open Day
Held as part of the “AI for Food Risk Prevention” workshop, the Agroknow Open Day offered a full morning of interactive presentations, demonstrations, and exchanges. The event welcomed participants with coffee and informal networking, setting the stage for a structured programme that combined brief talks with hands-on experience.
The day opened with introductory remarks by ATECluster, followed by an overview from Babis Thanopoulos (Agroknow), who outlined the session’s structure and main takeaways. His introduction framed the event around a central question: how can AI-driven tools support smarter food risk prevention?
A short pitching session followed, featuring contributions from three HORIZON-funded projects – EFRA, STELAR, and HOLiFOOD. Each pitch provided an overview of the project’s approach, technological innovations, and impact. STELAR’s contribution, led by Agroknow, centred on integrated data and early risk identification tools developed in the pilot.
The programme continued with a focused talk on the broader role of AI in risk prevention and two in-depth case studies illustrated specific applications. After a short break, the workshop shifted to a more interactive format. Participants joined a practical hands-on session led by Babis Thanopoulos and Iraklis Posnakidis, exploring AI-powered risk forecasting tools. Working through real-world food safety scenarios, attendees could directly engage with the platforms and observe how they support predictive decision-making.
The Agroknow Open Day closed with a wrap-up session summarising the main points and outlining possible next steps. It was a moment for reflection – but also a prompt for action, especially for those considering the adoption of AI-supported tools in food safety work.
General Reflections
The Agroknow Open Day brought together professionals from research, regulatory, and industry backgrounds – each working on different parts of the food safety puzzle. Whether involved in policy, data modelling, or operational risk control, participants shared a common interest in finding more effective ways to prevent food-related hazards.
This Open Day was more than just a pilot event. It aligned with work done by other HORIZON-funded projects like HOLiFOOD and EFRA, both of which explore AI’s role in early detection of food risks.
When multiple projects work towards the same goal, they can form a more complete response to shared challenges in food safety. This event provided just that – space for open discussion, direct testing, and critical feedback on how AI tools might support professionals in practice.
A Step Forward
As STELAR enters its final phase, the Agroknow Open Day served a dual purpose. It reflected on what the pilot has achieved and helped participants imagine how such solutions could be scaled and adopted elsewhere.
We thank everyone who contributed to this event – your presence and feedback helped bridge research and real-world application.
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