Adapatation Du Mod Le De Croissance Greenlab Aux Plantes Architecture Complexe Et Analyse Multi Chelle Des Relations Source Puits Pour L Identification Param Trique
DOWNLOAD
Download Adapatation Du Mod Le De Croissance Greenlab Aux Plantes Architecture Complexe Et Analyse Multi Chelle Des Relations Source Puits Pour L Identification Param Trique PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Adapatation Du Mod Le De Croissance Greenlab Aux Plantes Architecture Complexe Et Analyse Multi Chelle Des Relations Source Puits Pour L Identification Param Trique book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Adapatation Du Mod Le De Croissance Greenlab Aux Plantes Architecture Complexe Et Analyse Multi Chelle Des Relations Source Puits Pour L Identification Param Trique
DOWNLOAD
Author : Véronique Letort (Quitterie)
language : en
Publisher:
Release Date : 2008
Adapatation Du Mod Le De Croissance Greenlab Aux Plantes Architecture Complexe Et Analyse Multi Chelle Des Relations Source Puits Pour L Identification Param Trique written by Véronique Letort (Quitterie) and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with categories.
Plant growth modelling can be considered at different temporal and spatial scales. In the growth model GreenLab, spatial units are phytomers and temporal steps are growth cycles. Such scales are relevant for most crops but regarding branching plants with complex structures, description at these scales is difficult to achieve. The thesis proposes a multi-scale analysis of GreenLab according to different levels of simplification for parameter identification. We first identified the process influenced by plant architecture (e.g. cambial growth). Two kinds of approaches were discussed to address the problem: (i) development of simplified models with different levels of variable aggregation and (ii) parameter identification for the complete model using simplified targets. We introduced three levels of model simplification according to the feasibility of the associated experimental protocols and to the classical set of data usually collected for forestry models. For each of these three levels, we theoretically studied the conservation of some key-variables of the model from one simplification level to another one. On this basis, we proposed simplified equations based on aggregate variables and consistent with the GreenLab approach. We developed methods to identify not only functional but also topological parameters of plants, depending on the version of the model (deterministic, stochastic or mechanistic) and depending on the nature of available data. The applications presented in this thesis mainly concern trees but also other kinds of branched plants.