HAL will be down for maintenance from Friday, June 10 at 4pm through Monday, June 13 at 9am. More information
Skip to Main content Skip to Navigation
Theses

Développement d’une méthode de comparaison de données asynchrones en vue de la formalisation d’un raisonnement par analogies. Application à l’aide à la décision en viticulture

Abstract : (trad auto)The initial objective of this thesis work is to enhance the information relating to the temporal monitoring of the vine, the grape and the plant environment and recorded in traceability databases (BD) to allow comparison between parcels and vintages, with a view to decisions by analogy. The work carried out during this thesis made it possible to propose a method of transformation that makes it possible to represent asynchronous data sets in a common space in order to compare them. This method is based on the expertise of the production system. In this thesis work, this method has been applied to the comparison of plot × vintage couples. The expertise of the viticultural production system makes it possible, in a first phase, to define (i) the general form of the kinetics of evolution of the quantities of measurements evaluated on the vine, the grape or the plant environment and (ii) the effect of the climate on the plant. This expertise is used, in a second phase, to propose parametric models of the evolution of each quantity. The monitoring data for each plot × year pair allow the model parameters to be adjusted. A vector of parameters is defined per plot × year pair. This vector represents the common space that makes plot × vintage couples comparable. Two comparison strategies are then possible: (i) comparisons are made on the basis of parameters (intensive method), or (ii) comparisons are made on the basis of the estimated value of the size for each plot × vintage pair and each time unit, common to all pairs (extensive method). This method was applied to three different examples. In a first application, the climates of different vintages on different grape varieties, between flowering and veraison, were compared with each other after modelling the climatic measurement quantities, using very simple models. In a second and third application, the kinetics of pH increase and sugar accumulation in grape berries during maturation was modelled as a sigmoid. The comparisons were then made by working on (i) the representative curve of each kinetic (pH), (ii) the model parameters (sugars) and (iii) a daily estimate of the sugar concentration in the berries. The databases used in these applications come from two very different regions. Data from the monitoring of the INRA Pech Rouge experimental station in Languedoc-Roussillon, in the south of France, were used for application 1 and part of application 3. Monitoring data from different domains in Napa Valley, California were used for application 2 and part of application 3. The change in data representation space brings new knowledge to describe individuals and temporal phenomena in the vine. This knowledge could make it possible to formalize a reasoning by analogies using and valuing past experience for the management of the current vintage.
Keywords : thesis
Document type :
Theses
Complete list of metadata

Cited literature [184 references]  Display  Hide  Download

https://hal.inrae.fr/tel-02598393
Contributor : Migration Irstea Publications Connect in order to contact the contributor
Submitted on : Friday, May 15, 2020 - 11:40:33 PM
Last modification on : Wednesday, March 23, 2022 - 12:08:36 PM

File

pub00038058.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : tel-02598393, version 1
  • IRSTEA : PUB00038058

Citation

S. Dupin. Développement d’une méthode de comparaison de données asynchrones en vue de la formalisation d’un raisonnement par analogies. Application à l’aide à la décision en viticulture. Sciences de l'environnement. Doctorat Sciences Agronomiques, Ecole Doctorale : Sciences des Procédés Sciences des Aliments, Montpellier, 2012. Français. ⟨tel-02598393⟩

Share

Metrics

Record views

29

Files downloads

8