Sommaire
Mathematical elements for plant and crop modelling
In this applied mathematics sub-chapter, two different sections are presented: Notions in probabilities and Parameter estimation (for dynamic systems).
The objectives of these sections are practical and oriented to the development of plant growth models and their application in confrontati...
Date de création :
17.05.2015Auteur(s) :
Hatem Krit, Marc JaegerAccéder à la ressource :
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Résumé
In this applied mathematics sub-chapter, two different sections are presented: Notions in probabilities and Parameter estimation (for dynamic systems).
The objectives of these sections are practical and oriented to the development of plant growth models and their application in confrontation with experimental data.
Notions in probabilities are introduced in order to be able to build a stochastic growth model of the plant organogenesis.
Parameter functions are more related to plant functioning, such as organ sink functions and modelling of photosynthesis.
Parameter estimation is oriented to the identification of some hidden parameters of the model.
- Granularité : grain
- Structure : collection
Intervenants, édition et diffusion
Intervenants
Diffusion
Fiche technique
- LOMv1.0
- LOMFRv1.0
- SupLOMFRv1.0
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Voir aussi
This chapter section gives access to tools :
- Ready to use on site fitting and statistical tools
- Ready to use on site simulation tools
- Access to online tools
- Functional and structural Plant model simulation tools to download
- software tools
- fitting
- statistics
- plant FSPM simulation
- download
- logiciels
- calibration
- régressions
- statistiques
- simulation FSPM
- téléchargement
- Plants
- Probabilities and applies mathematics
- simulation
- modélisation mathématique
- mathématiques appliquées