GiESCO 2019 banner
IVES 9 IVES Conference Series 9 GiESCO 9 Conversion to mechanical management in vineyards maintains fruit

Conversion to mechanical management in vineyards maintains fruit

Abstract

Context and purpose of the study – Current environmental, ecological and economic issues require a better vineyard production management. In fact, a poor use of fertilizing could lead to harmful impact on environment. Another issue concerns the cultures themselves which couldn’t use fertilizers efficiently, leading to a loss of income or too much expense for farmers. Presently, estimation of fertilization’s needs is realized by the laboratory analysis of leaves selected through a random sampling. The present study aims at optimizing fertilization’s management by using a map of biophysical parameters estimated from satellite images.

Material and methods – Since 2016, experiments are carried out in three vineyard regions of France on three grapevine varieties (Merlot, Cabernet Franc and Merlot). The objective is to test if biophysical parameters or vegetation indices could be used to manage fertilization. Around ten plots in each region were studied. Leaves were sampled around the veraison period. Laboratory analysis were made to determine various parameters such as nitrogen, phosphorus and potassium content of leaves. Spot and Sentinel 2 satellite images were taken during the same period with a spatial resolution from 1.5m/pixel to 20m/pixel. A radiative transfer model was used to calculate biophysical parameters, including leaf area index (LAI), green cover fraction (Fcover), and chlorophyll content estimated in leaf (CHL). First, principal component analysis (PCA) were made to better understand the data distribution. Then, links between leaves components and biophysical parameters or vegetation indices were determined using simple and multiple linear regression.

Results – Differences were observed between each region. This could be due to different varieties, soil, climate and grapevine management (row spacing, pruning…). Models were also founded to predict nitrogen content of leaves using the biophysical parameter CHL (2016: R²=0,64, 2017: R²=0,59). These promising results still need to be confirmed with 2018 data. To improve accuracy further work will be carried out with other innovative methods such as machine learning.

Download the PDF

DOI:

Publication date: March 11, 2024

Issue: GiESCO 2019

Type: Poster

Authors

Eve LAROCHE PINEL1,2,3*, Sylvie DUTHOIT1, Anne COSTARD1, Jacques ROUSSEAU4, Véronique CHERET2,3, Harold CLENET2,3

1 TerraNIS, 12 Avenue de l’Europe, F-31520 Ramonville Saint-Agne, France
2 Ecole d’Ingénieurs de PURPAN, 75 voie du TOEC, F-31076 Toulouse, France
3 UMR 1201 DYNAFOR, INRA / Toulouse INP, 24 chemin de Borderouge 31326 Castanet Tolosan Cedex 4Institut Coopératif du vin, La Jasse de Maurin, F-34970 Montpellier, France

Contact the author

Keywords

satellite remote sensing, fertilization, intra and inter-plot variability, biophysical parameters

Tags

GiESCO | GiESCO 2019 | IVES Conference Series

Citation

Related articles…

Il vino nobile di Montepulciano

C’è grande attenzione al rapporto tra zonazione e marketing. Mi sembra però che ci sia anco­ra oggi un salto fra le pratiche di analisi del terreno e di deterrninazione di quello che potremo definire “cru” e quello che può essere la sua utilizzazione rispetto ai consumatori finali.

Read More

A mechanistic investigation of H/D scrambling processes in flavonoids

Several classes of flavonoids, such as anthocyanins, flavonols, flavanols and flavones, undergo a slow H/D exchange on aromatic ring A, leading to full deuteration at positions C(6) and C(8). Within the flavanol class, H-C(6) and H-C(8) of catechin and epicatechin are slowly exchanged in D2O to the corresponding deuterated analogues; even quercetin, a relevant flavonol representative, shows the same behaviour in a D2O/DMSOd6 1:1 solution. Detailed kinetic measurements of these H/D scrambling processes are here reported by exploiting the time-dependent changes of their peak areas in the 1H-NMR spectra taken at different temperatures. A unifying reaction mechanism is also proposed based on our detailed kinetic observations, even taking into account pH and solvent effects. Molecular modelling and QM calculations were also carried out to shed more light on several molecular details of the proposed mechanism.

Read More

Soil clay mineralogy and potassium buffer capacity as potential wine quality determining factors in Western Cape vineyards

The potassium (K) supply characteristics and clay mineralogies of a population of Western Cape soils were investigated to determine their potential effects on vine K uptake and wine quality. The total K contents of granite-, shale- and sandstone-derived soils varied, averaging 33.7, 26.1 and 4.5 cmol(+)/kg, respectively. Corresponding M NH4Cl exchangeable soil K levels were: 0.172, 0.042 and 0.035 cmol/kg.

Read More

Using image analysis for assessing downy mildew severity in grapevine

Aim: Downy mildew is a crucial disease in viticulture. In-field evaluation of downy mildew has been classically based on visual inspection of leaves and fruit. Nevertheless, non-invasive sensing technologies could be used for disease detection in grapevine. The aim of this study was to assess downy mildew severity in grapevine leaves using machine vision.

Read More

Can wine composition predict quality? A metabolomics approach to assessing Pinot noir wine quality as rated by experts

The perception of wine quality is determined by the assessment of multiple sensory stimuli, including aroma, taste, mouthfeel and visual aspects. With so many different parameters contributing to the overall perception of wine quality, it is important to consider the contribution of all metabolites in a wine when attempting to relate composition to quality.

Read More