inria-00122502, version 1
Fitting a Functional-Structural growth model with plant architectural data
Z. G. Zhan 1Philippe De Reffye a, 1, 2François Houllier b, 1B.G. Hu 1, 3
International Symposium on Plant Growth Modeling, Simulation, Visualization and their Applications - PMA'03 (2003) 108-117
Résumé : GreenLab is a recurrent discrete-time functional-structural model of plant growth and architecture. A method is presented estimating its parameters: the model is fitted to plant morphological and architectural data observed at one point of time. Since GreenLab output variables (number, size and fresh mass of organs) implicitly and nonlinearly depend on the model parameters, the fitting problem is solved by minimizing a generalized least-squares criterion and by implementing an iterative procedure. Fitting is satisfactorily performed on unbranched plants (cotton, maize, sunflower) using real data. The method is extended to more complex plants (i.e. with branches): a preliminary test on a virtual tree shows that the fitting algorithm also applies to such structured plants.
- a – INRIA
- b – CIRAD
- 1 : Eco-informatics (LIAMA)
- Centre de coopération internationale en recherche agronomique pour le développement [CIRAD] – CNRS – Institut national de la recherche agronomique (INRA) – INRIA – Chinese Academy of Science (CAS) – Institute of Automation, Chinese Academy of Sciences
- 2 : DIGIPLANTE (INRIA Rocquencourt)
- INRIA
- 3 : National Laboratory of Pattern Recognition [Beijing] (NLPR)
- Institute of Automation, Chinese Academy of Sciences
- Domaine : Informatique/Modélisation et simulation
- inria-00122502, version 1
- http://hal.inria.fr/inria-00122502
- oai:hal.inria.fr:inria-00122502
- Contributeur : Chine Publications Liama
- Soumis le : Vendredi 12 Janvier 2007, 11:58:51
- Dernière modification le : Mardi 30 Janvier 2007, 16:27:40
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