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!
Learn how Josephinum Research supports safe and responsible agricultural automation with autonomous tractors, field robots, and intelligent implements.
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.
Discover agrifoodTEF’s digital infrastructure, from computing and software to data assets. Learn how to access Swedish and EU-wide resources to test, simulate, and scale your agrifood solutions.
Explore agrifoodTEF’s Swedish infrastructure, featuring AstaZero and digital testbeds. Learn how to access physical testing assets and EU-wide facilities to validate your innovative solutions.
A training on how to collaborate with agrifoodTEF Sweden with details of the on boarding process, limitations within the project and other possibilities to support SMEs in the agrifood sector.
This training details agrifoodTEF’s operational framework and its collaboration with EDIHs. It highlights the Swedish Node, showcasing the specialised competencies and advanced infrastructures available through the project.
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.
Master UWB and accelerometer systems for livestock monitoring. Learn to track cattle behaviour and welfare using Python and Grafana through real-world datasets and sensor network deployment.
On-demand hands-on training introducing hyperspectral imaging for non-destructive crop and food quality assessment, with applications across multiple sectors.
