Are you looking to enhance your digital capacity and expertise in the agri-food sector? Find the perfect learning opportunities in the agrifoodTEF Training Catalogue!
Presentation of the agrifoodTEF service “Evaluation of readiness for testing” and why it is important for most agrifoodTEF customers to benefit from this service as a start.
Explore agrifoodTEF’s compliance support for AI and robotics. Learn about the AI Act, Machinery Directive, and ELSA/LCA services to ensure your solutions meet Swedish and EU regulatory standards.
On-demand hands-on training introducing hyperspectral imaging for non-destructive crop and food quality assessment, with applications across multiple sectors.
On-demand training on how to operate agricultural drones in full compliance with EU and Belgian regulations, including flight rules, spraying requirements and certification paths.
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.
A workshop designed to help start-ups and SMEs in the agrifood sector understand what is required to bring products to market maturity.
Introduction to agrifoodTEF with a focus on the Austrian partners, their competencies, infrastructures, and the services that can support EDIHs.
Presentation of agrifoodTEF’s physical infrastructures in Austria to highlight collaboration opportunities and potential new services.
Presentation of Austrian agrifoodTEF services in detail to identify potential collaborations and show the potential of the services. This is a service on demand.
Presentation of all the steps and assets agrifoodTEF has to offer to firms and guidance on how to proceed. This is a training on demand.
This webinar explores how data spaces are being used in the agri-food sector to enable secure, efficient, and cross-border data sharing.