VINTAGE: Vineyard Intelligence
VINTAGE – Vineyard INTelligence for Agronomic Guidance & Evaluation. The project explores how agronomic, climatic, and georeferenced field data can be transformed into management recommendations.
Description
Using different machine learning approaches, the project detects patterns, identifies disease and stress risks, and detects optimization potential for vineyard management. The goal is a data-driven decision foundation that improves plant health, reduces input use, and makes wine production more sustainable
Key data
Projectlead
Deputy Projectlead
Project partners
TOELT GmbH
Project status
ongoing, started 06/2026
Institute/Centre
Institute of Applied Mathematics and Physics (IAMP)
Funding partner
Third party
Project budget
16'215 CHF