Use of hyperspectral data for assessing vineyard biophysical and quality parameters in northern Italy

The spanish wine industry stands at a crossroads, transitioning from a traditional emphasis on wine production to a landscape increasingly characterized by diversified service offerings. This paper delves into the nuances of servitization within spanish wineries, investigating the determinants of servitization and the impact of these diversified services on revenue streams. The paper posits hypotheses concerning the influence of various factors, such as winery size, location, market orientation, ownership structure, market competition, regulatory environment, market demand, firm capabilities, owner characteristics, and firm age, on the adoption of diversified service offerings in spanish wineries. The methodology involves comprehensive regression analysis to unravel the drivers of servitization within this context.

Climate change is drastically modifying grape composition and wine quality. As consequence, must and wines are becoming unbalanced, with high sugar concentration, increased alcohol content, lower acidity, excessive astringency, color instability and also a rise in the incidence of tartaric instability is being showed.

The climate change is afecting particulary to the South of Spain, with high temperatures. It is important to develop new strategies in order to mantain the quality of wines

No other agricultural product has a stronger relationship with the soil than wine. This study aimed to characterize the sensory profile of red wines from the Douro Demarcated Region (RDD) certified as DOC Douro, through the application of Quantitative Descriptive Analysis (QDA®) and Temporal Dominance of Sensations (TDS) sensory methods. QDA® provides a complete word description for all a product’s sensory properties. The TDS, which is relatively recent in the sensory field [1], allows to evaluation and description of the evolution of the dominant sensory perceptions during the tasting of a food product.Eighteen commercial wines from different producers were evaluated, six different samples representing each of the three sub-regions of the RDD.

The application of remote and proximal sensing is a fast and efficient method to monitor grapevine vegetative and physiological parameters and is considered valuable to derive information on associated yield and quality traits in the vineyard. Further details can be obtained by the application of molecular analysis at the gene expression level aiming at elucidating how pathways controlling the formation of different grape quality traits are influenced by spatial variability. This work aims at evaluating intra-vineyard variability in grape composition at harvest and at comparing this with remotely sensed canopy vegetation data and molecular-based approaches.