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.
On-demand hands-on training introducing hyperspectral imaging for non-destructive crop and food quality assessment, with applications across multiple sectors.
On-demand practical training on processing drone imagery to create orthophotos, vegetation indices and actionable prescription maps for crop management.
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.
What are the ethical, legal, and social aspects (ELSA) of AI...
In order to develop digital twins for agriculture, reliable...
End-users like to see an objective validation of a...
Accessing the end-user in a country takes a lot of time and...
