Prediction of vine vigor and precocity using data and knowledge-based fuzzy inference systems.
Prédiction de la vigueur et de la précocité de la vigne à partir de données et d'une base de règles expertes floues
Résumé
The evolution of the economical and environmental context (low-input management practices, increase of energetic cost and climate change) requires adaptation and/or optimization of winegrower’s practices in order to elaborate competitive and qualitative wines. To adapt and sustain their practices at the plot scale e.g. rootstock selection or plantation density, winegrowers and extension officers need indicators to predict vine development according to immutable environmental factors (soil, parent rock and landscape). The aim of this work is to develop operational and useful indicators with a scientific justification.