Kang Meng Zhen, Cournède Paul-Henry, Quadrat Jean-Pierre, De Reffye Philippe.
2007. A stochastic language for plant topology.
In : Plant growth modeling and applications. Proceedings PMA06 : The Second International Symposium on plant growth modeling, simulation, visualization and applications, Beijing, China, November 13-17, 2006. Fourcaud Thierry (ed.), Zhang Xiao-Peng (ed.). Institut d'automatique-LIAMA, IEEE
Résumé : The article describes a stochastic formal language adapted to the botanical concepts underlying the GreenLab organogenesis model. It is based on stochastic L-systems (parallel rewriting grammars) and on multi-type branch- ing processes: stochastic processes control bud productions and at each growth cycle, each new growth unit is the result of a random variable. This formalism allows determining inductively the generating functions of the resulting plant structures and of the numbers of organs, which fully char- acterizes the plant development resulting from the elemen- tary stochastic processes of bud productions. The moments of the stochastic distributions of the numbers of organs are also explicitly deduced.
Mots-clés Agrovoc : modèle mathématique, plante, organogénèse, ramification, port de la plante, développement biologique, modèle de simulation
Classification Agris : U10 - Informatique, mathématiques et statistiques
F62 - Physiologie végétale - Croissance et développement
F50 - Anatomie et morphologie des plantes
Auteurs et affiliations
- Kang Meng Zhen, Institut d'automatique (CHN)
- Cournède Paul-Henry, Ecole centrale Paris (FRA)
- Quadrat Jean-Pierre, INRIA (FRA)
- De Reffye Philippe, CIRAD-AMIS-UMR AMAP (FRA)
Autres liens de la publication
Source : Cirad - Agritrop (https://agritrop.cirad.fr/544907/)
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