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A Water Supply Optimization Problem for Plant Growth Based on GreenLab Model

L. Wu 1, 2 François-Xavier Le Dimet 3 B.G. Hu 1 Paul-Henry Cournède 4 Philippe de Reffye 5 
3 IDOPT - System identification and optimization in physics and environment
Inria Grenoble - Rhône-Alpes, CNRS - Centre National de la Recherche Scientifique : UMR5527
5 DIGIPLANTE - Modélisation de la croissance et de l'architecture des plantes
MAS - Mathématiques Appliquées aux Systèmes - EA 4037, Cirad - Centre de Coopération Internationale en Recherche Agronomique pour le Développement, Inria Saclay - Ile de France
Abstract : GreenLab is a structural-functional model for plant growth based on multidisciplinary knowledge. Its mathematical formalism allows dynamic simulation of plant growth and model analysis. A simplified soil water balance equation is introduced to illustrate the interactions and feedbacks between the plant functioning and water resources. A water supply optimization problem is then described and solved: the sunflower fruit weight is optimized with respect to different water supply strategies in a theoretical case. Intuitive searching method and genetic algorithms are used to solve this mixed integer nonlinear problem. The optimization results are analyzed and reveal possible agronomic applications.
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Submitted on : Tuesday, January 2, 2007 - 3:31:55 PM
Last modification on : Friday, February 4, 2022 - 3:17:25 AM


  • HAL Id : inria-00122491, version 1
  • PRODINRA : 252078



L. Wu, François-Xavier Le Dimet, B.G. Hu, Paul-Henry Cournède, Philippe de Reffye. A Water Supply Optimization Problem for Plant Growth Based on GreenLab Model. 7éme Colloque Africain sur la Recherche en Informatique (CARI'04), Nov 2004, Mammamet, Tunisia. ⟨inria-00122491⟩



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