Enological characters of thirty vines in four different zones of Tuscany

Today, a variety of remote sensing tools are used to characterise plant performance. However, the vine is rarely studied, as a major crop specificity is canopy discontinuity. Registered images of the vineyard are anisotropic, therefore difficult to analyse.

The analysis of consumer attitudes towards wine, especially towards wines perceived as faulty, is an aspect that requires more research than has been carried out so far [1]. This study aims to analyse consumer behaviour in situations involving the consumption of faulty wines and to assess the level of acceptance of such wines.

In recent years, the use of amphorae in winemaking has become more frequent, symbolizing a return to the origins of vinification to broaden the availability of wines with different style.

Many farming operations aim at controlling the leaf area of the vine according to its load. There are several techniques, direct and indirect, of estimate of this leaf area in a specific way, but impossible to implement at great scales. These last years, research in airborne and satellite remote sensing made it possible to show that a multispectral index of vegetation, computed from measurements of reflectances (red and near infrared), the « Normalised Difference Vegetation Index » (NDVI), is well correlated to the « Leaf Area Index » (leaf area per unit of ground) of the vine. Nevertheless these methods of acquisition and processing data are rather constraining and complex.

Ecological sustainability refers to developing viticulture in adequate environmental conditions.