[en] Crop models describe the growth and development of a crop interacting with its surrounding agro-environmental conditions (soil, climate and close conditions of the plant). However, the implementation of such models remains difficult because of the high number of explanatory variables and parameters. It often happens that important discrepancies appear between measured and simulated values. This article aims to highlight the different sources of uncertainty related to the use of crop models, as well as the actual methods that allow to compensate or, at least, to consider these sources of error during the model result analysis.
This article presents a literature review that firstly synthetises the general mathematical structure of crop models. The main criteria for evaluating crop models are then described. Finally, several methods used for improving models are given. Parameter estimation methods, including frequentist and Bayesian approaches, are presented and data assimilation methods are reviewed.
Disciplines :
Computer science Agriculture & agronomy
Author, co-author :
Dumont, Benjamin ; Université de Liège - ULiège > Sciences et technologie de l'environnement > Mécanique et construction
Vancutsem, Françoise ; Université de Liège - ULiège > Sciences agronomiques > Phytotechnie des régions tempérées
Seutin, Benoit ; Université de Liège - ULiège > Sciences agronomiques > Phytotechnie des régions tempérées
Bodson, Bernard ; Université de Liège - ULiège > Sciences agronomiques > Phytotechnie des régions tempérées
Destain, Jean-Pierre ; Université de Liège - ULiège > Sciences agronomiques > Phytotechnie des régions tempérées
Destain, Marie-France ; Université de Liège - ULiège > Sciences et technologie de l'environnement > Mécanique et construction
Language :
English
Title :
Simulation de la croissance du blé à l’aide de modèles écophysiologiques : Synthèse bibliographique des méthodes, potentialités et limitations.
Alternative titles :
[en] Wheat growth simulation using crop models: A review of the methods, potential and limitations.
Publication date :
2012
Journal title :
Biotechnologie, Agronomie, Société et Environnement
ISSN :
1370-6233
eISSN :
1780-4507
Publisher :
Presses Agronomiques de Gembloux, Gembloux, Belgium
Volume :
16
Issue :
3
Pages :
376-386
Peer reviewed :
Peer Reviewed verified by ORBi
Name of the research project :
Suivi en temps réel de l’environnement d’une parcelle agricole par un réseau de micro-capteurs en vue d’optimiser l’apport en engrais azotés
Funders :
SPW DG03-DGARNE - Service Public de Wallonie. Direction Générale Opérationnelle Agriculture, Ressources naturelles et Environnement
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