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Dernière mise à jour : Mai 2018

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GNANGUENON GUESSE Girault

Doctoral student

  • UMR Mistea, Building 29, 2 place Pierre Viala, 34060 Montpellier Cedex 2, France
  • +33 (0)4 99 61 26 86
  •  girault-bogues.gnanguenon-guesse@inra.fr
  • Directors: Nadine Hilgert (INRA Mistea), Supervisor: Bénédicte Fontez (Montpellier SupAgro MISTEA), Patrice Loisel (INRA Mistea), and Thierry Simonneau (INRA LEPSE)
  • Topic: Modeling and viewing relations between agrienvironmental time courses and product quality using a parcimonious Bayesian approach
  • Doctoral School: ED 166 I2S - Information, Structures, Systems
  • Abstract: The development of news methods to extract interpretable information for heterogeneous and uncertain temporal data is the main objective of the thesis. This will be done in the framework of latent variable model. In this context, the challenge will be how to integrate all the uncertainties and how to choose the space of reduced size. This reduction must be done in a way that allows to extract pertinent  and reliable information in order to explain or predict the quality of a product. The main application of the thesis will be data of the European project Innovine, of which the Montpellier UMR LEPSE and SPO are partners. The aim of this project is to support the European wine industry by taking into account the demand of consumers (quality of wines) and citizens (respect for the environment) in the context of climate change.

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