Livestock farming

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.

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.