Use Cases

For this edition we’re heading out of the lab and into the fields and we’re looking at one of Europe’s most prized treasures: our vineyards.

High-quality wine is a huge part of the economy in places like Spain and Italy. But as any winegrower will tell, a single pest or a bout of powdery mildew can ruin an entire year’s hard work. To stop this, farmers need better “early warning systems,” but building those systems requires sharing data that many are scared to let go of.

The Problem: The Field Notebook Dilemma

To predict a pest outbreak, scientists need to combine satellite weather data with a farmer’s private “field notebooks.” These notebooks contain every detail of how a farm is run, what fertilisers are used, when they spray for bugs, and their specific daily practices.

This is where the harvest hits a snag. Farmers are often worried that if they share this level of detail:

• Competitors might steal their best techniques.
• Insurance companies might use the data to hike up premiums.
• Regional governments might lose their economic edge to a neighbouring region.

Because of these fears, a lot of the best data stays locked in a drawer, and the prediction models stay “just okay” instead of “brilliant.”

The TITAN Solution: Privacy in the Vineyard

TITAN aims to allow farmers in regions like Aragón (Spain) and Veneto (Italy) to share their insights without actually handing over their private files.

Here is how the project is changing the game:

• The “Digital Safe”: Just like in our medical study, sensitive notebooks are processed inside a secure “enclave.” The computer looks for patterns (like a rising risk of powdery mildew), but the researchers and cloud providers never actually see the raw text.
• AI with a Filter: Since many notebooks are just handwritten notes or messy digital files, TITAN uses Natural Language Processing (NLP) to pick out the useful facts and scrub away the personal or commercial secrets.
• Permission Slips: A farmer can give permission for their data to be used only for pest prediction, and nothing else. The system makes sure the data can’t be “snooped on” for other reasons.

Why This Matters for the Table and the Planet

When farmers can safely pool their knowledge, the whole community wins. TITAN aims to create a world where:

1. Fewer Chemicals are Used: If you know exactly when a pest is coming, you only spray when necessary. This saves money and is much better for the environment.
2. Better Yields: Catching a disease early means saving the crop, which keeps the wine industry stable and successful.
3. Climate Resilience: As the weather gets more unpredictable, sharing data helps vineyards in different countries learn from each other on how to stay resilient.

Highlighted by the Swedish Government

This innovative approach to agricultural data has recently achieved major policy recognition. TITAN’s exact agrifood use case has been featured as a primary case study in an official report published by the Swedish Government, titled “A strengthened capacity for modern data sharing – privacy-enhancing technology in public administration” (SOU 2026:44).

The report explicitly highlights how TITAN’s decentralized infrastructure, anonymisation techniques, and Trusted Execution Environments (TEEs) allow vine growers to utilize advanced AI models without exposing their sensitive, competitive commercial records. Having an ongoing research initiative highlighted in a high-level national document strongly validates the real-world necessity of the secure tools the project is building.

Proving the Results

We are currently putting this to the test by comparing traditional prediction tools with the new TITAN-enhanced models. By bringing data together from across borders in a totally confidential way, TITAN aims to prove that we can protect our crops and our privacy at the same time.