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TALLHEDA at Christmas Research Innovation Street@UNSFA Event!

  • Dec 23, 2025
  • 1 min read

The TALLHEDA project was successfully presented during the Christmas Research Innovation Street@UNSFA event, held at the University of Novi Sad, Faculty of Agriculture, on 22 December 2025.


The event brought together more than 150 participants and showcased 38 international R&D projects, creating a vibrant environment for knowledge exchange, networking, and dissemination of research and innovation activities.


TALLHEDA was presented to a diverse audience of researchers, students, and project teams, highlighting its mission to strengthen excellence in Digital Agriculture research and education. Visitors had the opportunity to learn about the project’s objectives, ongoing activities, and future plans, while engaging in discussions with project representatives.


A particularly valuable aspect of the event was the strong participation of students. They actively interacted with project members, asked questions, and received detailed information about TALLHEDA results, training opportunities, and upcoming activities. This direct engagement contributed to raising awareness about Digital Agriculture and the importance of innovation-driven education.


The Christmas Research Innovation Street @ UNSFA once again demonstrated the importance of collaborative platforms that foster dialogue between research projects, academic institutions, and young scientists. TALLHEDA’s participation further strengthened its visibility within the Serbian research and innovation ecosystem and reinforced its commitment to outreach, dissemination, and stakeholder engagement.


Stay tuned for more updates on TALLHEDA activities and events across Europe.

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TALLHEDA
EU

Project coordination

Prof. Konstantinos Demestichas

cdemest@aua.gr

Agricultural University of Athens

Project communication

MSc Angeliki Milioti

angeliki@smartagrohub.gr

Smart Agro Hub

Project Framework

TALLHEDA has received funding from the European Union's Horizon Europe research and innovation programme under Grant Agreement No. 101136578.

Funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the European Research Executive Agency (REA). Neither the European Union nor the granting authority can be held responsible for them.

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