Filtered results 1015 results found
Training
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.
Training
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.
Training
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.
Training
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.
Service
Data interoperability in the agrifood sector hinders innovation and development due to the need for many custom...
Training
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.
Service
We offer a comprehensive testing service to validate the safety functions of autonomous mobile robots and robotic...
Service
The ARPA 4 test thoroughly evaluates the safety systems of agricultural robots, focusing on their ability to detect...
Service
This service evaluates the effectiveness of onboard geofencing safety systems in agricultural robots, ensuring they stay...
Service
This service tests the performance of on-board detection systems in agricultural robots, focusing on their safety...
Training
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.
Training
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.