COVE CAAIVE

Coordinatore del progetto: 

DIETHNES PANEPISTIMIO ELLADOS (Greece)

Partner:

• Uniwersytet Przyrodniczy We Wroclawiu (Poland)
• Cyril And Methodius University In Skopje (Republic of North Macedonia)
• Latvijas Biozinatnu Un Tehnologiju Universitates Malnavas (Latvia)
• Istituto D’istruzione Superiore Niccolo Pellegrini (Italy)
• Zdruzenie Na Kvaliteten Zivot Nova Kreativa Skopje (Republic of North Macedonia)
• Drushtvo Za Trgovija, Uslugi I Konsalting Emkice (Republic of North Macedonia)
• Geotexniki (Greece)
• Zemnieku Saeima (Latvia)
• Centro Assistenza Imprese Coldiretti Sardegna Sr (Italy)
• Centre For Development Of The South-East Planni (Republic of North Macedonia)
• Mine Vaganti Ngo (Italy)
• Eduforma Srl (Italy)
• Smart Nest (Latvia) 
   

GRUPPI TARGET 

Gruppi target diretti:

• Agriculture sector students in VET and HEI
• Agriculture sector educators in VET and HEI
• Small-scale farmers, especially family farms and farmers above 45 years old
• medium and large scale farmers

Gruppi target indiretti:

•  Agriculture technology developers
• Agriculture sector Policy makers
• Entrepreneurial communities
• Society in general
   

Obiettivi del progetto

1) Enhance digital literacy of farming students and existing farmers by introducing simplified, no-code AI/ML solutions that enable data analysis and algorithm development without requiring programming skills.

2) Establish Digital Agricultural Skills Ecosystems (DASE) and four Regional CAAIVEs to serve as collaborative innovation hubs.

3) Embed deeper digital understanding and AI/ML algorithm creation into agricultural education.

4) Fostering a mindset adaptable to technological advancements and Green Transition

5) Activate CAAIVE Educational Framework

6) Develop grassroot level informed policy recommendations on Digital Skill Development

APPROACH / METHODOLOGY

CAAIVE adopts a learner-centred, practice-based and ecosystem-driven approach, combining non-formal education (NFE) with formal VET structures to develop digital skills in agriculture. The methodology is based on learning-by-doing, problem-based learning, and experiential learning, using workshops, hackathons, peer learning, field demonstrations, and living labs.

No-code AI/ML tools are used to ensure inclusiveness and accessibility for farmers and students with diverse digital backgrounds. Training activities are co-created with stakeholders within the Digital Agricultural Skills Ecosystems (DASE) and Regional CAAIVEs, ensuring relevance and real-world impact. Continuous feedback, monitoring, and alignment with the Green Transition support adaptability, quality, and sustainability.

RISULTATI DEL PROGETTO 

• PR1 – CAAIVE Digital Skills Curriculum for Agriculture
   A modular, practice-oriented curriculum integrating digital literacy, AI/ML fundamentals, and precision farming applications for VET students and farmers. The curriculum will include learning outcomes, training materials, and assessment tools and will be available in digital format.
• PR2 – No-Code AI/ML Training Toolkit for Precision Agriculture
   A set of simplified, no-code AI/ML tools and use-case scenarios enabling farmers and learners to analyse agricultural data and develop basic algorithms without programming skills.
• PR3 – Digital Agricultural Skills Ecosystem (DASE) Framework
   A structured framework defining governance, collaboration mechanisms, and operational models for Digital Agricultural Skills Ecosystems and four Regional CAAIVEs, supporting cooperation between VET providers, industry, and policy actors.
• PR4 – CAAIVE Educational Framework and Mobility Model
   An educational framework supporting work-based learning, mobility activities, hackathons, and peer exchange between students, trainers, and farmers to enhance innovation capacity and practical skill acquisition.
• PR5 – Policy Recommendations on Digital Skills in Agriculture
   Evidence-based, grassroots-level policy recommendations derived from DASE and Regional CAAIVE activities, aimed at supporting digital skills development and AI adoption in agriculture at national and EU levels.

Obiettivi del ACTIVITIES 

• PM1 (Kick-off) M1-M3 – Thesaloniki (Greece)
• PM2 M10 – Timasora (Romania)
• PM3 M18 – Wroclaw (Poland)
• PM4 M24 – Malnava (Latvia)
• PM5 M30 – Sassari (Italy)
• PM6 M40 – Skopje, North Macedonia
• PM7 M48 – Padova (Italy)