Navigate agricultural Data Spaces with ease. This training covers data sovereignty, the Data Act, and interoperability, alongside the legal and business models needed for secure agrifood data sharing.
Build and fine-tune LLMs using your own datasets. This training provides EDIH staff with the practical skills to identify AI opportunities and implement custom models for improved hub efficiency.
A hands-on workshop exploring how AI can be leveraged within European Digital Innovation Hubs (EDIHs), including an introduction to customised large language models (LLMs) and brainstorming on AI applications to support existing workflows.
On-demand hands-on training introducing hyperspectral imaging for non-destructive crop and food quality assessment, with applications across multiple sectors.
An on-demand introduction to learn how precision agriculture uses sensors, GPS, and drones to optimise crop production. This training covers the full data cycle, from sensing to variable-rate application, using real-world examples.
Hands-on training to build domain-specific AI assistants by linking graph databases with LLMs. This training uses Python and Streamlit to develop smart farming tools for data-driven advisory and food systems.
What are the ethical, legal, and social aspects (ELSA) of AI...
A workshop designed to help start-ups and SMEs in the agrifood sector understand what is required to bring products to market maturity.
Learn how agrifoodTEF supports EDIHs, with a focus on the Austrian Node. Discover the node’s key infrastructure and competencies to help your network leverage Europe-wide agrifood innovation services.
Explore the Austrian Node’s physical testing facilities and equipment. This training details how these real-world environments support AI and robotics validation and how to access tailored services.
