[PhD’s Corner] Cyrille Ahmed Midingoyi: Semantic and modular representation of plant growth model using a declarative metalanguage


 Cyrille Ahmed Midingoyi is one of the #DigitAg co-funded PhDs

 

Semantic and modular representation of plant growth model using a declarative metalanguage

  • Start Date: January 2018
  • University: MUSE Montpellier University of Excellence / Montpellier SupAgro
  • PhD School: GAIA , Montpellier
  • Field(s): Computer Science, Agronomy
  • Doctoral Thesis Advisor: Pierre Martre (INRA LEPSE)
  • Co-supervisors : Pierre Martre (INRA LEPSE), Frédérick Garcia (INRA MIAT), Christophe Pradal (Inria UMR AGAP)
  • Funding: #DigitAg – INRA
  • #DigitAg: Cofundex PhD – Axis 4

Keywords: declarative metalanguage, plants growth models, semantic, modular

Abstract:

Plant growth simulation models are commonly used to predict and analyze the response of plants to their environment. The intercomparison and improvement of these models remains difficult because of their monolithic structure and the diversity of the programming languages of the modeling platforms. The objective of the thesis is to develop a high-level language, allowing to describe mathematically and to annotate semantically each model and its assembly independently of the programming languages and the formalisms of each modeling platform. The operational objectives concern the interoperability of the modeling tools, as well as their links with the information systems collecting the data. A modularity of models in the level of biological processes is aimed to allow a better integration of knowledge in agronomy and plant biology and to facilitate links with data. The thesis will be a major contribution to the international initiative for the exchange of models in agriculture (AMEI).

 

 

Contact:  cyrille.midingoyi [AT] inra.fr​ – Tél : 0605627151

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