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, Ecole Centrale Paris
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.
Document type :
Journal articles
Complete list of metadatas

Cited literature [9 references]  Display  Hide  Download

https://hal.inria.fr/hal-01261708
Contributor : Coordination Episciences Iam <>
Submitted on : Monday, January 25, 2016 - 5:13:19 PM
Last modification on : Thursday, July 4, 2019 - 3:56:03 PM
Long-term archiving on : Tuesday, April 26, 2016 - 11:36:39 AM

File

CARI04_09.pdf
Explicit agreement for this submission

Identifiers

  • HAL Id : hal-01261708, version 1

Collections

Citation

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 la Recherche en Informatique et Mathématiques Appliquées, INRIA, 2005, 3, pp.197-207. ⟨hal-01261708⟩

Share

Metrics

Record views

712

Files downloads

545