Agriculture is undergoing a profound transformation: artificial intelligence, sensor technology, blockchain and data analytics are entering production processes and the everyday decisions of businesses in the sector. Responding to this shift calls for a new professional profile, one that combines technical expertise with managerial vision.
The training programme combined theory, practical exercises and mentoring, enabling participants to explore key topics in depth through case studies and interactive exercises. Those who took part developed their own final project, putting their skills to the test with a hands-on case study. Feedback was positive, with particular appreciation for the clarity and precision of the training delivered.
At the end of the programme, a field study visit brought trainers and participants together to experience deep tech and agriculture 4.0 concepts first-hand. The study visit marks a milestone, not an end point: training on these advanced technologies will continue in autumn with new activities.
This programme is part of AGRITECH, an initiative bringing together research institutions, universities and businesses from five European countries to introduce deep tech into agricultural education and close key skills gaps in the sector.
AGRITECH – Alliance for Innovative Learning Environment in Advanced Agriculture through Technology and Management è un’iniziativa innovativa, finanziata dal programma ERASMUS-EDU-2024-PI-ALL-INNO, che mira a trasformare l’istruzione agricola integrando le tecniche Deep Tech – tra cui l’Intelligenza Artificiale, la Blockchain e il Quantum Computing – nelle moderne pratiche agricole, con l’obiettivo di colmare le lacune di competenze chiave nel settore agricolo, promuovendo un ecosistema educativo all’avanguardia che favorisca l’apprendimento interdisciplinare.
AGRITECH – Alliance for Innovative Learning Environment in Advanced Agriculture through Technology and Management is an innovative initiative, funded by the ERASMUS-EDU-2024-PI-ALL-INNO programme, which aims to transform agricultural education by integrating Deep Tech techniques – including Artificial Intelligence, Blockchain and Quantum Computing – into modern farming practices, with the goal of bridging key skills gaps in the agricultural sector and fostering a cutting-edge educational ecosystem that supports interdisciplinary learning.
The project consortium is made up of ELGO-DIMITRA (coordinator, Greece), CARDET (Cyprus), Aristotle University of Thessaloniki (Greece), PAMEA (Austria), ACQUIN (Germany), Wireless Info (Czech Republic), USAMV (Romania), DDTG (Hungary), OECON (Greece), ZSCR (Czech Republic), LAND Impresa Sociale (Italy), AGRICLOUD (Romania), Automation SRL (Italy), GAZDA Kontroll (Hungary), ScientAct (Greece).
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For further information, please contact Giulia Carrabino: giulia.carrabino@impresasocialeland.org