Utilisation de données historiques pour caractériser le millésime en cours

Artificial intelligence (AI) for winegrowers refers to robotics, smart sensor technology, and machine learning applied to solve climate change problems. Our research group has developed novel technology based on AI in the vineyard to monitor vineyard growth using computer vision analysis (VitiCanopy App) and grape maturity based on berry cell death to predict flavor and aroma profiles of berries and final wines.

Introduction increasing sustainability is essential and a societal challenge, requiring fundamental changes in behaviour and attitudes. This applies to both producers and consumers. For the wine industry in particular, such a change is a major challenge. An eip-agri research project is evaluating the introduction of a returnable glass system in the german wine industry as a key solution for increasing sustainability. Given the need for change associated with a returnable system, the project is theoretically grounded in systems innovation, as this approach provides solutions for complex, transformative change.

The use of toasted vine-shoots as an alternative enological tool to make differentiated wines has generated interest among researchers and wineries. However, the evolution of these wines in bottle and the effect on the sensory profile has not been studied so far.

White wines produced with skin and seed contact are of great interest in the wine sector. Maceration, whether performed prior to or concurrently with alcoholic fermentation, or even extended beyond its completion, significantly impacts the chromatic, mouthfeel, and aroma characteristics of these wines.

La viticulture dans le monde est sous l’étroite dépendance des conditions climatiques. En effet, la culture de la vigne est concentrée entre 30° et 50° de latitude Nord et 30° à 40° de latitude Sud