Viticulture | agrifoodTEF

ARPA 2 - Qualification of perception systems in harsh environmental conditions (rain, fog, night)

This service tests the performance of on-board detection...

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.

On-demand webinars

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.

Evaluation for Ethical, Legal, and Social Aspects (ELSA Scan) for responsible AI development

What are the ethical, legal, and social aspects (ELSA) of AI...

Provision of support and expertise for robotic developments and testings in vineyards

You will have access to feedback on your prototype or about...

Validation of AI- or robotic-based solutions for vineyard management: provision of dedicated and private experimentation facilities on a real vineyard

Install your robotic or AI solution on a real vineyard to...

On-demand webinars

Robotics & AI in Viticulture: Tackling labour shortages through innovation

Explore AI and robotics in viticulture to tackle labour shortages. See real-world tools like the DIONYSOS robot and learn how 3D-LiDAR and anomaly detection improve vineyard precision and efficiency.

Data Analysis for AI Performance Evaluation/Assessment

When you’re developing an AI-based solution, you need to...

Data labelling for AI detection purposes in the vineyard

You can provide your own dataset, without labels, or ask us...

Viticulture expertise for data collection on AI issues

IFV has national French experts that cover all the fields...

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