The impact of acetaldehyde on phenolic evolution of a free-SO₂ red wine

Currently, the main goal of agriculture is to promote the resilience of agricultural systems in a sustainable way through the improvement of use efficiency of farm resources, increasing crop yield and quality under climate change conditions. This last is expected to drastically modify plant growth, with possible negative effects, especially in arid and semi-arid regions of Europe on the viticultural sector. In this context, the monitoring of spatial behavior of grapevine during the growing season represents an opportunity to improve the plant management, winegrowers’ incomes, and to preserve the environmental health, but it has additional costs for the farmer. Nowadays, UAS equipped with a VIS-NIR multispectral camera (blue, green, red, red-edge, and NIR) represents a good and relatively cheap solution to assess plant status spatial information (by means of a limited set of spectral vegetation indices), representing important support in precision agriculture management during the growing season. While differences between UAS-based multispectral imagery and point-based spectroscopy are well discussed in the literature, their impact on plant status estimation by vegetation indices is not completely investigated in depth. The aim of this study was to assess the performance level of UAS-based multispectral (5 bands across 450-800nm spectral region with a spatial resolution of 5cm) imagery, reconstructed high-resolution satellite (Sentinel-2A) multispectral imagery (13 bands across 400-2500 nm with spatial resolution of <2 m) through Convolutional Neural Network (CNN) approach, and point-based field spectroscopy (collecting 600 wavelengths across 400-1000 nm spectral region with a surface footprint of 1-2 cm) in a plant status estimation application, and then, using Bayesian regularization artificial neural network for leaf chlorophyll content (LCC) and plant water status (LWP) prediction. The test site is a Greco vineyard of southern Italy, where detailed and precise records on soil and atmosphere systems, in-vivo plant monitoring of eco-physiological parameters have been conducted.

The transition to a decarbonized economy requires companies to adopt mitigation measures. The wine sector is one of the most affected by climate change and, therefore, interested in its mitigation. The question is how this process develops. To address this, we build on a previous study [1], which identified different types of Spanish wineries based on their sustainability approach.

Vineyard water availability is one of the most important variables both in plant’s production and wine quality, once it regulates several processes, among which the stomata activity. To avoid water deficit, wine producers introduced artificial irrigation in their vineyard, using a semi-empirical process to calculate water amount.

Dans le but d’améliorer la qualité et la typicité des vins de l’Appellation d’0rigine Contrôlée CAHORS, une étude a été réalisée afin de mettre en évidence l’adéquation Cépage-Terroir- Qualité du vin.
Selon la méthodologie proposée par MORLAT et ASSELIN (1992), neuf unités terroirs ont été déterminées. Sur chacune, des parcelles de référence homogènes quant au matériel végétal Cot ou Malbec ( cépage principal de cette appellation greffé sur S04, et aux méthodes culturales, ont été suivies au niveau agronomique et œnologique (GARCIA et al., 1996).

In this video recording of the IVES science meeting 2024, Stéphane La Guerche (Œnoppia, Paris, France) speaks about wine labelling with the list of ingredients: context, consumer’s perception and future challenges. This presentation is based on an original article accessible for free on IVES Technical Reviews.