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

Lin Wu 1 Philippe de Reffye 2 Bao-Gang Hu 3 François-Xavier Le Dimet 1 Paul-Henry Cournède 4 
1 IDOPT - System identification and optimization in physics and environment
Inria Grenoble - Rhône-Alpes, CNRS - Centre National de la Recherche Scientifique : UMR5527
2 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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Lin Wu, Philippe de Reffye, Bao-Gang Hu, François-Xavier Le Dimet, Paul-Henry Cournède. A Water Supply Optimization Problem for Plant Growth Based on GreenLab Model. Revue Africaine de Recherche en Informatique et Mathématiques Appliquées, 2005, Volume 3, Special Issue CARI'04, november 2005, pp.197-207. ⟨10.46298/arima.1836⟩. ⟨hal-01261708⟩



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