Terroir 2010 banner
IVES 9 IVES Conference Series 9 International Terroir Conferences 9 Terroir 2010 9 Geology and Soil: effects on wine quality (T2010) 9 Three proximal sensors to estimate texture, skeleton and soil water storage in vineyards

Three proximal sensors to estimate texture, skeleton and soil water storage in vineyards

Abstract

Proximal sensors are becoming widely used in precision viticulture, due to the quick, easy and non-invasive identification of soil spatial variability. The apparent soil electrical conductivity (ECa) is the main parameter measured by sensors, which is correlated to many factors, like soil water content, salinity, clay content and mineralogy, rock fragments, bulk density, and porosity. This study compares three different sensors to delineate soil boundaries and estimate clay, skeleton content and available water (AWC) in a vineyard of the Chianti region (Central Italy). All three sensors produced ECa maps with similar pattern. Although the correlations between ECa, clay and skeleton content were usually moderate, the correlations between ECa and some important hydrological parameters, namely field capacity (FC), wilting point (WP) and available water capacity (AWC), was very high.

Download the PDF

DOI:

Publication date: November 23, 2021

Issue: Terroir 2010

Type: Article

Authors

S. Priori (1), E.A.C. Costantini (1), A. Agnelli (1), S. Pellegrini (1), E. Martini (2)

(1) C.R.A.-A.B.P., Research Center for Agrobiology and Pedology, Piazza M.D’Azeglio, 30, 50121, Firenze, Italy
(2) University of Turin, Earth Science Department, Turin, Italy

Contact the author

Keywords

Soil, precision viticulture, geophysics, EMI sensors, apparent electrical conductivity

Tags

IVES Conference Series | Terroir 2010

Citation

Related articles…

A sundial vineyard: impact of row density and orientation on cv. Cabernet-Sauvignon physiology and grape composition, insights to face a climate change scenario

An experimental vineyard with a radial array was planted in 2018, to provide valuable information on the relationship between orientation and planting density on plant physiology and cluster microclimate, and the consequent impacts on grape secondary metabolites, including aromas and polyphenols.
Read More

Development of a GRASS-GIS application for the characterization of vineyards in the province of Trento

The physical factors that influence the grape ripening include elevation, slope, aspect, potential global radiation, sun hours and soil type of the vineyards.

Read More

Nitrogen partitioning among vine organs as a consequence of cluster thinning

Agroscope is investigating the impact of yield on nitrogen (N) partitioning in grapevine and on must composition. The mechanism of N assimilation

Read More

CHARACTERISTIC EXTRACTION OF THE PHENOL COMPOUNDS IN KOSHU (VITIS VINIFERA CV.) WINE DURING THE MACERATION

Koshu is one of the indigenous grape variety that has been grown in Japan for more than one thousand years. Recent research showed that it has 70% of Vitis vinifera genes. In 2010, the Koshu variety was included in ‘International List of Vine and Varieties and their Synonyms’ managed by the ‘International Organisation of Vine and Wine’ and has further fueled its popularity in Japan. It is the most cultivated variety for winemaking in Japan.
Koshu berries have light purple skins. The variety is mainly used to produce white wines such as an aromatic wine and a wine produced by sur lie method although various styles are produced.

Read More

Counting grape bunches using deep learning under different fruit and leaf occlusion conditions

Yield estimation is very important for the wine industry since provides useful information for vineyard and winery management. The early yield estimation of the grapevine provides information to winegrowers in making management decisions to achieve a better quantity and quality of grapes. In general, yield forecasts are based on destructive sampling of bunches and manual counting of berries per bunch and bunches per vine.

Read More