Les paysages viticoles des régions Vale Dos Vinhedos et Monte Belo (Brésil), un lien avec l’Etrurie

La pratique de la délimitation des aires des Appellations d’Origine Contrôlées françaises découle de la définition de la notion de terroir en Appellation

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.

Grape quality is a complex trait that mainly refers to berry chemical composition, including sugars, organic acids, phenolics, aroma and aroma precursor compounds.

Aroma is one of the most important attributes that determine consumer’s perception of the sensory quality of wine and varietal typicity.

Wine production is a complex multi-step process and the end-product is not easily defined in terms of composition and quality due to the diversity of the raw materials (grapes) and the biological agents (yeast and bacteria) used/present during the fermentation. Furthermore, linking what happens in the vineyard to the wine fermentation and ultimately to characteristics in the wine during ageing