AGRILEARN Showcased at ‘Brainstorming in Digital Agriculture in Europe’ Event by AUA.

December, 2024

Agricultural University of Athens (AUA) hosted a highly successful TALLHEDA brainstorming visit, bringing together experts, researchers, and academics from Greece, Serbia, Belgium, and beyond. The event was organized as part of the European project TALLHEDA, which aims to strengthen the educational activities of Agricultural Departments of European Universities in the fields and technologies of digital agriculture. The event, focused on advancing Digital Agriculture through collaboration and innovation, aligning with the project’s goal of building long-term alliances between Higher Education Institutes and fostering the Quadruple Helix of innovation.

The event featured invited speakers from Ghent University (Belgium), Food Scale Hub (Serbia), and REZOS BRANDS S.A. (Greece) presenting the following topics:

  • Artificial Intelligence and Data Analytics: Data Availability and Sharing.
  • Empowering Agricultural Innovation – The Role of Digital Twins for Startups and SMEs.
  • Digital Agriculture Evolution by means of Blockchain and Distributed Ledger Technology.

After the main sessions partners from projects with subjects close to TALLHEDA scope and priorities had the opportunity to present their actions/projects. The AgriLearn project,  was presented by Professor Dr. Dionisios Kalivas and Eleni Raidou. The project aims to strengthen and support the European agriculture industry by advancing smart/digital agriculture practices.

Our main goal was to present the objectives and outcomes of the AgriLearn project. First, we outlined the project’s objectives and highlighted the role of the Agricultural University of Athens (AUA) in its implementation. AUA conducted extensive research on current best practices, as well as the needs and interests of the target group. Following this, AUA performed a needs assessment analysis by developing a short questionnaire, which was distributed to the target group in all participating countries. The primary finding of this analysis was a strong interest in further training in smart agriculture.

Based on these findings, AUA developed modular learning materials designed to address varying knowledge levels and preferences. The project’s goals, deliverables, target skills, and key insights were briefly summarized, culminating in the project’s main outcome: the publication of an e-platform containing VET materials for farmers, students, and stakeholders.