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A symbolic method to analyse patterns in plant structure whose organogenesis is driven by a multitype branching process
Cedric Loi ( ) 1, 2, Paul-Henry Cournède 1, 2, Jean Françon 3
(2010-12-15)

Formal grammars like L-systems have long been used to describe plant growth dynamics. In this article, they are used for a new purpose. The aim is to build a symbolic method derived from computer science that enables the computation of the distribution associated to the number of complex structures in plants whose organogenesis is driven by a multitype branching process. To that purpose, a new combinatorial framework is set in which plant structure is coded by a Dyck word. Moreover, the organogenesis is represented by stochastic F0L-systems. By doing so, the problem is equivalent to determining the distribution of patterns in random words generated by stochastic F0L-system. This method leads directly to numerous applications like parametric identication for plant growth model.
1:  Mathématiques Appliquées aux Systèmes - EA 4037 (MAS)
Ecole Centrale Paris
2:  DIGIPLANTE (INRIA Saclay - Ile de France)
INRIA – Centre de coopération internationale en recherche agronomique pour le développement [CIRAD] : UMR – Ecole Centrale Paris
3:  Département d'informatique
Université de Strasbourg
Mathematics/Dynamical Systems

Mathematics/Combinatorics

Life Sciences/Vegetal Biology/Botanics
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