Training Catalogue

Discover how the Evaluation of Ethical, Legal, and Social Aspects (ELSA Scan) service supports responsible AI and IoT development in agriculture.

Gain insight into the "Experimentation robotics in crop production" service. Learn how to access test fields and simulation platforms to evaluate robot performance and usability in real environments.

Understand the "Assessment of conformity roadmap for an innovation" service. Learn how to identify EU directives and standards to create a customised, step-by-step plan for achieving full regulatory compliance.

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.

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.