Knowledge passed on row by row
Bois noir and leafroll virus are among the diseases the vineyards watch closely. Spotting them means walking the rows, recognising a leaf that yellows or curls, and noting what you see. It is observational knowledge, acquired over the seasons.
What the Alsace pilot is testing
The European STELLA project, devoted to digital technologies for plant health, has set up one of its pilots in Alsace. The Institut français de la vigne et du vin is conducting a case study there on bois noir and leafroll virus. On eight plots, the team deploys sensors, connected traps and imaging.
The images collected must then be annotated, that is, labelled by people, so that AI models learn to recognise the symptoms. The whole system rests on this patient work.
What the first year showed
The review published in December 2025 describes a promising first year. It also documents its difficulties: the weather, which affects data collection, and image annotation, which is long and demanding. The consortium's periodic report, published on the European Commission portal, presents a first platform prototype; the models are still in the testing and validation phase.
The human eye remains the reference
One methodological choice deserves attention: visual observations are maintained throughout the experiment, for comparison. The machine is measured against the practitioner's eye. This is the right way to introduce AI into a profession: start from what people know how to do, and check what the tool adds.
What we will go and see
The results of the 2026 campaign, disease by disease. The human time that data collection really requires. A winegrower's view of what they would do with an alert. Do you work on this pilot or on one of its plots? ia3.alsace would like to meet you.
Sources:STELLA project, Alsace pilotInstitut français de la vigne et du vinCORDIS, European Commission