A comparative analysis of regions worldwide with Pinot noir

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.

There is evidence in the literature that non-volatile wine matrix can modify the release and therefore the perception of the compounds involved in wine aroma [1-3].

AIM: The increasing incidences of wildfires in wine grape growing regions pose a significant risk. Persistent exposure to smoke can compromise the quality and value of wine grapes and adversely affect wines made from smoke exposed grapes.

The aim of this research was to evaluate the variability of ripening characteristics of the Tempranillo variety within the Ribera del Duero Designation of Origin (Spain) and it relationships with soil characteristics

In recent years, an undesirable premature “aged” character has been noticed in a growing number of young Riesling wines, associated with extreme weather conditions leading to increased radiation intensity and/ or sun exposure of grapes.