AgriKnowNet -Transforming agricultural workforce development by delivering context-specific knowledge, skills, and competencies through AI-enabled knowledge networks

Purpose and goal

The project aims to lay the foundation for a consortium and design a competitive proposal for HORIZON-CL6-2027. Through a strong consortium, validated methodology, clear technical approach and plans for implementation, impact, data management and IPR, the project is strategically positioned. The goal of the Horizon proposal is to contribute to increased innovation, strengthened skills supply and a more inclusive and equitable knowledge sharing within the European agricultural sector.

Expected effects and result

The project develops a technology-based knowledge network that ensures equivalent, multilingual and validated knowledge for farmers. Through a Living Labs network, innovative learning tools are tested, including digital assistance, certification systems and lifelong learning models. Personalized learning resources empower small-scale farmers, female farmers and young people. The project increases innovation and the goals of Farm-to-Fork, etc. Together we future-proof value creation: for real.

Planned approach and implementation

Work packages include coordination, consortium establishment and development of proposal. Workshops shape project structure, methodology and partnership between academia and stakeholders. A clear impact pathway and business model are developed with measurable KPIs for long-term dissemination. In addition, strategies for IPR, DMP (according to GDPR), and risk minimization (e.g. data bias) are developed. The work is quality assured in several stages for a coherent and competitive EU proposal.