Filtered results 1015 results found
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Digital Resources at agrifoodTEF
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.
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Physical infrastructure at agrifoodTEF, focus on Sweden
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.
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Ways of Working within agrifoodTEF Sweden
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.
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Overview of agrifoodTEF for EDIHs
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.
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Assessment of interoperability for AI-driven solutions
Data interoperability in the agrifood sector hinders innovation and development due to the need for many custom...
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An introduction to Data Spaces for non-experts
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.
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ARPA 1 - Qualification of safety systems providing obstacle detection and robot safety functions (ISO 18497:2024 reference obstacle)
We offer a comprehensive testing service to validate the safety functions of autonomous mobile robots and robotic...
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ARPA 4 - Qualification of safety systems for human detection and collision avoidance (diverse working environments)
The ARPA 4 test thoroughly evaluates the safety systems of agricultural robots, focusing on their ability to detect...
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ARPA 3 - Qualification of safety functions ensuring robots keep within their working area (physical or virtual barriers)
This service evaluates the effectiveness of onboard geofencing safety systems in agricultural robots, ensuring they stay...
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ARPA 2 - Qualification of perception systems in harsh environmental conditions (rain, fog, night)
This service tests the performance of on-board detection systems in agricultural robots, focusing on their safety...
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How to create a LLM on a custom dataset
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.
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How to incorporate AI into your EDIH work
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.