Systemic approach of vine functioning characterization from the assessment of joint effects of environmental factors and cultural practices, to predict wine types
type: Dataset
description: Winegrowers must adapt their viticultural practices taking into consideration new environmental regulations and changing climate. Modelling the viticultural production system may provide guidance and supporting to winegrowers and decision makers. It will furthermore permit researchers and engineers to test prospective scenarios. Modelling must take into account environmental and human factors as well as the quality of products. The objective of the thesis is to propose and test a methodological approach. We designed a conceptual representation of the joint effects of soil, subsoil, landscape and cultural practices on vine functioning. Variables are of different nature and some of them uncertain. We chose appropriate mathematical methods to aggregate variables. These aggregations are based on expert knowledge and automatic learning from data. The joint effects were connected to 'grape/wine' product types that were previously characterized by winegrowers and advisor agents. Modelling and application of the conceptual representation use data from winegrower's plots. Our concept applied to studied plots, allowed showing that it was possible to characterize, in a simple and operational way, the global vine functioning and link it to 'grape/wine' product types. Results validated a two step methodology at the plot level: firstly, characterization of variables evaluating vegetative development and precocity; secondly, characterization of water supply conditions. Vine functioning variables can be predicted. Water supply conditions are predicted according to existing models. Vine development variables can be predicted. Our method highlighted interactions between environmental factors and cultural practices in the prediction of vine vigor. When all of the factors influencing vine development are considered, our results show that a simple model based on direct relationships, coming from expert knowledge and literature, is not efficient enough to predict vine functioning variabl…
landing page: https://theses.hal.science/tel-00989784
keyword: alimentation-hydrique
keyword: analyse-sensorielle
keyword: fuzzy-inference-systems
keyword: infoeu-reposemanticsdoctoralthesis
keyword: modelisation
keyword: modelling
keyword: parcelle-viticole
keyword: precocite
keyword: precocity
keyword: sdvsaagrolife-sciences-q-bioagricultural-sciencesagronomy
keyword: sensory-analysis
keyword: systemes-dinference-floue
keyword: theses
keyword: vigor
keyword: vigueur
keyword: vineyard-plot
keyword: water-supply
issued: 2026-05-05T11:32:22.364921
modified: 2026-05-05T11:32:22.364929
language: fr
contact point: Organization
  fn: CCSD

test_moissonnage_selune
type: Agent

Systemic approach of vine functioning characterization from the assessment of joint effects of environmental factors and cultural practices, to predict wine types
type: Distribution
format: HTML
access URL: https://theses.hal.science/tel-00989784
issued: 2026-05-05T11:32:22.367590
modified: 2026-05-05T11:32:22.338567