OtherVerified
Reviewed and published by trentmaziarz, April 21, 2026. Discovered and drafted by our automated research pipeline.
Moët & Chandon, an LVMH winery, deployed an AI-powered optical sorting system that photographs each crate of grapes upon arrival at the press and uses computer vision algorithms to detect damage and assign quality ratings. The system was implemented across all Moët & Chandon wine presses in 2024 and evaluated over 16,000 pallets of grapes in under three weeks.
Details
The system was developed over six years in collaboration with French agtech startup Hiphen, using algorithms trained on more than 6,000 annotated grape images. Computer vision detects grapes affected by diseases such as Botrytis and isolates substandard fruit before pressing. A mobile version of the solution is also being developed for Moët & Chandon's partner-vignerons. This practice is confirmed by LVMH's own tech platform and was showcased at VivaTech 2025.
Products affected
Moët & Chandon champagne production
Sources & Evidence
Cite this record
Trace Foundation. (2026). Moët & Chandon: Moët & Chandon, an LVMH winery, deployed an AI-powered optical sorting system that photographs each crate of grapes upon arrival at the press and uses computer vision algorithms to detect damage and assign quality ratings. The system was implemented across all Moët & Chandon wine presses in 2024 and evaluated over 16,000 pallets of grapes in under three weeks (data as of 2026-04-21) [Data set record]. AI Trace. https://www.aitrace.org/r/practice/c7504612-330f-4403-80c0-88b17bd12203. Accessed September 11, 2026.
- Stable link
- https://www.aitrace.org/r/practice/c7504612-330f-4403-80c0-88b17bd12203
- Data as of
- April 21, 2026
- Last verified
- Not recorded
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