Vine field monitoring using high resolution remote sensing images: segmentation and characterization of rows of vines

Barolo DOCG is an economically important wine producing region in Northwest Italy. It is a small region of approximately 70 km2 gross area. The topography is very complex with steep sloped hills ranging in elevation from below 200 m to 550 m. Barolo DOCG wine is made exclusively from the Nebbiolo grape. Bioclimatic indexes are often used in viticulture to gain a better understanding of broader climate trends which can be compared temporally and geographically. These indexes are also used for identifying potential phenological timing, growing region suitability, and potential risks associated with expected climatic changes. Understanding how topography influences bioclimatic indexes can help with understanding of mesoscale climate behaviour leading to improved decision making and risk management strategies. The average monthly maximum and minimum temperatures, the Cool Night Index, the Huglin Index, and the monthly diurnal range (from July to October) were calculated using data from 45 weather stations within a 40 km radius of the Barolo DOCG growing area between the years 1996 and 2019. Linear and multiple regression models were developed using independent variables (elevation, aspect, slope) extracted from a digital elevation model to identify significant relationships. Bioclimatic indexes were then kriged with external drift using independent variables that showed significant relationships with the bioclimatic index using a 100 m resolution grid. The maximum monthly temperatures and the Huglin Index showed consistent significant negative relationships with elevation in all years. The minimum monthly temperatures showed no relationship with elevation but in some months a small but significant relationship was observed with aspect. Due to the lack of a relationship between minimum monthly temperatures and elevation compared to the significant relationship between maximum monthly temperatures and elevation, monthly diurnal range had a negative relationship with elevation.

Analysis of aerial photos by using GIS tools and on-field surveys of flora are used to characterize territories from an agro-ecological point of view and to assess the level of diversity of given agro-ecosystems. More and more correlations between landscape characteristics, sustainability and quality of agriculture production were speculated. In last three years a study was carried out in the area of DOC “Gioia del Colle” in Apulia, South Italy, in order to characterize and investigate different vineyards and sites and find out possible interactions and correlations between the landscape diversity, the biodiversity of fields and the quality of grapes and wines.

In this video recording of the IVES science meeting 2024, Silvina Dayer (PhD in Agronomy, Les Sanctuaires du Mirazur-Groupe Mauro Colagreco, Menton, France) speaks about grapevine drought response to increase vineyard sustainability. This presentation is based on an original article accessible for free on IVES Technical Reviews.

The Fregoni bioclimatic index (IF) considers the daily temperature range during the ripening month and the number of days with temperature below 10°C.

Yeast secondary metabolism is a complex network of biochemical pathways and the genetic profile of the yeast carrying out the alcoholic fermentation is obviously important in the formation of the metabolites conferring specific odors to wine. The aim of the present research was to investigate the relative expression of genes involved in flavor compound production in eight different Saccharomyces cerevisiae strains.
Two commercial yeast strains Sc1 (S.cerevisiae x S.bayanus) and Sc2 (S.cerevisiae) and six indigenous S. cerevisiae strains (Sc3, Sc4, Sc5, Sc6, Sc7, Sc8) isolated during spontaneous fermentations were inoculated in Assyrtiko and Vidiano grape must.