Remote sensing and ground techniques, applied to the characterization of a new viticultural region at Pinto Bandeira, Brazil

Context and purpose of the study. Climate change accelerates grapevine’s phenology, advancing harvests by 2–3 weeks over the past 40 years negatively affecting wine style due to a lack of acidity and too much alcohol.

In front of the economic interest and seeking to respect their environment, the wine growers move gradually towards a policy of reasoning their plant health protection. This is why, starting from epidemiologic studies on grapevine pathogens, forecasting models of the risks are developed by research and experimentation bodies.

The sulphur dioxide (SO2) is the most widely used additive in the wine industry because of its preservative action. However, in recent years the number of wineries that produce wines without SO2 has increased significantly because its allergenic character.

Aim: Wine aromatic profile is a combination of viticulture and oenological practices and it is related to character, quality, and consumer acceptance. Based on the competition between soil capacity and canopy development, and on the potential to produce sparkling wines at Caldas, in the south region of Minas Gerais (Brazil) (21°55´S and 46°23´W, altitude 1.100m), the aim of this work was the evaluation of the development of aromas (secondary metabolites) from grapes to sparkling wines in a vine-spacing experiment and whether the distance between the vines can influence the aromatic profile of the sparkling wines (final product). 

In the actual scenario of climate change, optimization of water usage is becoming critical in sustainable viticulture. Most of the current approaches to assess grapevine water status and drive irrigation scheduling are either destructive, time and labour consuming and monitor a small, limited number of plants. This work presents a novel methodology using a contactless, miniaturized, low-cost NIR spectrometer to monitor the vineyard water status variability from a moving vehicle, to provide reliable information towards precision irrigation.