Vulnerability of vineyard soils to compaction: the case study of DOC Piave (Veneto region, Italy)

The increasing frequency of wildfires in grape-growing regions is seen as a significant risk for the grape and wine industry.

Happens too often in scientific papers to find the same harvesting period of a cultivar, although the used treatment influence a maturity curve of investigated thesis.
This inevitably leads to wrong conclusions when comparing the treatment effects, since obtained on maturity stages more or less far from those technologically correct.

Wineries may randomly reject fruit from vineyards near wild fires exposed to smoke. It is difficult to determine if fruit has been compromised in quality when exposed to smoke

the phenological evolution is a crucial aspect of grapevine growth and development. Accurate detection of phenological stages can improve vineyard management, leading to better crop yield and quality traits. However, traditional methods of phenological tracking such as on-site observations are time-consuming and labour-intensive. This work proposes a scalable data-driven method to automatically detect key phenological stages of grapevines using satellite data. Our approach applies to vast areas because it solely relies on open and satellite data having global coverage without requiring any in-field data from weather stations or other sensors making the approach extensible to other areas.

Context and purpose of the study. Rising temperatures and prolonged heat accelerate berry sugar accumulation in advance of the accumulation of compounds responsible for aroma, colour and mouthfeel.