Moët Hennessy, the luxury group behind some of the world’s most recognized champagnes and spirits, has introduced an artificial intelligence system designed to detect a crop-damaging fungus on grapes before it produces off-putting aromas in finished wine. The announcement comes at a time when vineyard managers face mounting pressures from weather extremes and persistent plant diseases. The technology focuses on identifying volatile compounds emitted by infected vines that remain invisible to traditional inspection methods.
A Persistent Vineyard Challenge
The fungus in question releases a distinct fresh-mushroom scent that winemakers consider unacceptable in both still and sparkling wines. Growers in France’s Champagne region have contended with the issue since around 2005, often discovering the problem only after grapes have been harvested and fermentation has begun. Early detection has proven difficult because the emissions are faint and not readily noticeable by human senses or standard visual checks. Efforts to manage the fungus have required substantial investment, with Moët Hennessy alone spending millions of euros on research and prevention. The same organism has affected vineyards in California, where losses reached an estimated $4 billion in 2020 alone. These recurring setbacks highlight how a single plant pathogen can disrupt production across major wine regions.
Training AI on Vineyard Emissions
Researchers trained the new AI model using sensing technology applied directly to grape samples. The system learns to recognize specific chemical signatures associated with the fungus at stages when intervention remains possible. This approach draws on earlier work at the Massachusetts Institute of Technology that created a database of digitized aromas known as “smellnet.” Moët Hennessy collaborated with engineering firm Analog Devices and scientists at the University of California, Davis, to adapt the technology for practical vineyard use. The goal is to give growers a tool that flags risk before the mold advances far enough to compromise an entire harvest.
Industry Pressures Add Urgency
Recent growing seasons have compounded existing difficulties for wine producers. Record heat in Champagne during the past summer increased alcohol levels in grapes, while wildfires damaged crops in several areas. California vineyards have faced additional market disruptions, including sharp declines in exports. Against this backdrop, any advance that improves early disease detection offers both economic and quality benefits. The AI system does not replace established vineyard practices but adds a layer of precision to existing monitoring routines.
What Matters Now
The project remains in its early deployment phase, with further testing needed to confirm performance across different climates and grape varieties. Still, the partnership between a major producer, sensor specialists, and university researchers signals a broader shift toward data-driven plant health management in viticulture. Continued refinement could help reduce losses from this and similar fungal threats in the seasons ahead.
AI Disclaimer: This article was created with the assistance of AI tools and reviewed by a human editor.