Terroir 2016 banner
IVES 9 IVES Conference Series 9 Soil electrical resistivity, a new and revealing technique for precision viticulture

Soil electrical resistivity, a new and revealing technique for precision viticulture

Abstract

High resolution spatial information of soil electrical resistivity (ER) was gathered to assess the spatial variability patterns of vegetative growth of two commercial vineyards (Vitis vinifera L. cv. Tempranillo) located in the wine-producing regions of La Rioja and Navarra, Spain. High resolution continuous geoelectrical mapping was accomplished by an Automatic Resistivity Profiler (ARP) on-the-go sensor with an on-board GPS system; rolling electrodes enabled ER to be measured for a depth of investigation approximately up to 0.5, 1 and 2 meters. Contemporarily, in specific locations within the vineyard plots, soil samples were taken and physical soil analyses were performed in the laboratory. ER was related to spatial and temporal variabilities of a number of physical soil properties, such as salinity, clay mineral content and soil moisture. Resistivity data were interpolated over the whole area by means of the Ordinary Kriging interpolation algorithm, producing raster maps with a 5-m cell size. A correlation matrix was then employed to find out the most significant relationships between ER, soil physical and vegetative growth data. In conclusion, ER is a useful technique to identify areas with similar vegetative status within a vineyard in the frame of precision viticulture.

DOI:

Publication date: June 23, 2020

Issue: Terroir 2016

Type: Article

Authors

Javier Tardaguila (1), Maria-Paz Diago (1), Manuel Oliveira (2)

(1) Instituto de Ciencias de la Vid y del Vino (University of La Rioja, CSIC, Gobierno de La Rioja) 26006, Logroño, Spain
(2) CITAB – Department of Agronomy, UTAD, 5001-911 Vila Real, Portugal

Contact the author

Keywords

Terroir, soil, electrical conductivity precision viticulture, mapping, zoning, soil spatial variability; electrical resistivity; vineyard variability

Tags

IVES Conference Series | Terroir 2016

Citation

Related articles…

Aroma chemical profiles characterization of wines produced with moristel grapes harvested at different time points

The wine aroma is constituted by hundred of volatile chemical compounds that depend on many viticultural and oenological factors.

Vignobles sur les pentes en Bourgogne : l’aube d’un nouveau modèle de l’Antiquité au Moyen Âge

La découverte d’une vigne gallo-romaine en plaine à Gevrey-Chambertin (Côte-d’Or) constitue un point important pour la compréhension de la construction des terroirs viticoles de Bourgogne. Sa situation en plaine constitue pour nous le point de départ d’une large réflexion sur la mise en place du modèle de viticulture de coteau qui prévaut en Bourgogne et sur les facteurs de ce changement de norme de qualité viticole. Les sources mobilisées pour cette approche interdisciplinaire et diachronique sont géomorphologiques, archéologiques et textuelles.

Enological evaluation of the attitude of the grapevine fumin to give varietal wines

Initiatives have been ongoing in recent years to safeguard biodiversity in the oenological sector via a process of enhancement of ancient varieties, under a pressure of a market strongly oriented towards production deriving from native vines of specific geographical zones. In that sense, Aosta Valley
(Italy) has raised the need to preserve and characterize its minority vine varieties which have the potentiality to give varietal wines. Fumin represents the 7% of the production of the region with 16 hectares of vineyards and 753 hectolitres of derived wine. Due to its large phenolic potential, strong astringency and deep colour, it has long been, and is still today, assembled or blended with other varieties as occurs, for example, for the Torrette.

Precision viticultural strategy for managing intra-vineyard variability in grape aroma using UAV-based vigour indices

In several cultivars, such as Gewürztraminer and Riesling, grape and wine aromas are determined by volatile terpenoids.

Learning from remote sensing data: a case study in the Trentino region 

Recent developments in satellite technology have yielded a substantial volume of data, providing a foundation for various machine learning approaches. These applications, utilizing extensive datasets, offer valuable insights into Earth’s conditions. Examples include climate change analysis, risk and damage assessment, water quality evaluation, and crop monitoring. Our study focuses on exploiting satellite thermal and multispectral imaging, and vegetation indexes, such as NDVI, in conjunction with ground truth information about soil type, land usage (forest, urban, crop cultivation), and irrigation water sources in the Trentino region in North-East of Italy.