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AI in winemaking

Fermentation, ageing and quality control with data.

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From Cellar to Table: Examining AI’s Role in the Wine Trade
Winemaking

From Cellar to Table: Examining AI’s Role in the Wine Trade

Wine Industry Advisor examines the practical use and limitations of artificial intelligence in the wine sector. One AI system incorrectly told Daniel Webber, Wine Director at Wrigley Mansion, that Philippe Melka makes Casa Piena.

Wine Industry Advisor · 24 September 2026 · 2 min read

YOLO11 models tested for tree tomato maturity detection
Policy

YOLO11 models tested for tree tomato maturity detection

A new study examined YOLO11-based object detection models for automatically identifying the maturity of tree tomato fruit. Researchers used 200 smartphone images, although the supplied material does not report performance metrics.

Frontiers in Plant Science · 11 September 2026 · 2 min read

AI fire detection expands near South Australian wine regions
Research

AI fire detection expands near South Australian wine regions

An AI-powered bushfire detection camera has been activated at Mount Crawford ahead of the 2026–27 fire danger season. It is the technology’s first deployment in a peri-urban part of South Australia, near the Adelaide Hills and Barossa wine regions.

Grapegrower & Winemaker · 11 September 2026 · 2 min read

Thirty innovations honored at the 2026 Vinitech-Sifel awards
Research

Thirty innovations honored at the 2026 Vinitech-Sifel awards

The Vinitech-Sifel innovation jury recognized 30 solutions from 55 entries in 2026. Surus Connect, M&Wine and Mywah received gold honors, while ten additional innovations earned citations.

Vitisphere · 10 September 2026 · 1 min read

Sensors and AI at a California vineyard
Research

Sensors and AI at a California vineyard

A California vineyard is using sensors and other forms of AI to improve its winemaking. The report focuses on practical deployment but does not provide detailed technical specifications or quantified results.

Bing News – Vineyard Technology · 6 September 2026 · 3 min read

Deep learning could speed up vine leaf phenotyping
Research

Deep learning could speed up vine leaf phenotyping

The study explores supervised and unsupervised deep learning methods for segmenting images of vine leaves and supporting phenotyping. The approach could make large plant-screening tasks faster, but the available material does not report accuracy or field-performance results.

arXiv – Viticulture & Grapevine · 6 September 2026 · 3 min read

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