Terroir 2006 banner
IVES 9 IVES Conference Series 9 Characterization of vine vigor by ground based NDVI measurements

Characterization of vine vigor by ground based NDVI measurements

Abstract

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. Recently, N-Tech Industries in collaboration with Oklahoma State University developed a ground sensing apparatus, the GreenSeekerTM, which measures the NDVI.
In this study, the GreenSeekerTM, active sensor, is shown to function independently of the climatic conditions when it is used with a screen. The NDVI delivered by the GreenSeekerTM is mainly sensitive to the variations of porosity of the foliage. However, it can be used to carry out a follow-up of the foliar growth of the vine, but with much of precautions. Linked to a GPS, it makes it ple to chart relative variations of vigor at an intraplot level.

DOI:

Publication date: December 22, 2021

Issue: Terroir 2006

Type: Article

Authors

J.P. GOUTOULY (1), R. DRISSI (1), D. FORGET (2) and J.P. GAUDILLÈRE (1)

(1) INRA, UMR Œnologie-Ampélologie Équipe Écophysiologie and Agronomie Viticole
71, avenue Edouard-Bourlaux B.P.81, 33883 Villenave d’Ornon cedex, France
(2) INRA, Domaine expérimental viticole de Couhins, 33883 Villenave d’Ornon cedex, France

Contact the author

Keywords

Vitis vinifera, remote sensing, GreenSeekerTM, NDVI / LAI

Tags

IVES Conference Series | Terroir 2006

Citation

Related articles…

Targeted and untargeted 1H-NMR analysis for sparkling wine’s authenticity

Studies on wineomics (wine’s metabolome) have increased considerably over the last two decades. Wine results from many environmental, human and biological factors leading to a specific metabolome for each terroir. NMR metabolomics is a particularly effective tool for studying the metabolome since it allows the rapid and simultaneous detection of major compounds from several chemical families.1 Quantitative NMR has already proven its effectiveness in monitoring the authenticity of still wines.

Impact of microclimate on berry quality parameters of white Riesling (Vitis vinifera L.)

Knowledge has been accumulated on the impact of microclimate, in particular berry temperature and irradiation, for a wide range of red varieties. However, little research has been dedicated on the effects of the same factors on the quality of white grape varieties.

Color stabilization properties of oenological tannins

The use of oenological tannins is authorized for many years by the OIV and advised for color stabilization. For this reason, winemakers look for a better understanding of tannins/anthocyanins interactions to produce deeply colored wines with great color stability during aging.

La caracterización de los moscateles

Ya en 1964 GIOVANNI DALMASSO et alii describiendo el Moscato bianco (12) ponían de manifiesto la dificultad realmente ardua en descubrir “si no todas, por lo menos las más importantes variedades que llevan el nombre de Moscateles

Screening table grape cultivars using cell wall ELISA and glycan microarrays for berry firmness and quality parameters

The crunchy texture of table grapes is one of the key quality parameters during production. This varies from cultivar to cultivar, stage of harvest and vineyard performance. Cell wall properties are key drivers of berry quality (e.g., pericarp firmness and intactness) at harvest and beyond. Common practise amongst producers is to continuously monitor firmness by evaluating pericarp appearance of cross-sectioned berries prior to harvest. These qualitative methods can be quite arbitrary and imprecise in their execution, but more quantitative, yet simple and high-throughput methods to evaluate these cell wall polymers are not yet readily available.