Working with dynamic crop models : evaluation, analysis, parameterization, and applications /

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This text focuses on methods for working with crop models, and in particular on mathematical and statistical methods. It is intended for use in a graduate level course in crop modeling and for researchers who wish to use crop models.

Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Wallach, Daniel, 1942-, Makowski, David, 1972-, Jones, James W.
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Amsterdam ; London : Elsevier, 2006.
Temas:
Crop yields > Mathematical models.
Crop yields > Statistical methods.
Crops > Growth > Mathematical models.
Crops > Growth > Statistical methods.
Agricultural mathematics.
Cultures > Rendement > Modèles mathématiques.
Cultures > Rendement > Méthodes statistiques.
Cultures > Croissance > Modèles mathématiques.
Cultures > Croissance > Méthodes statistiques.
Agriculture > Mathématiques.
TECHNOLOGY & ENGINEERING > Agriculture > Agronomy > General.
TECHNOLOGY & ENGINEERING > Agriculture > Sustainable Agriculture.
Agricultural mathematics
Crop yields > Mathematical models
Crop yields > Statistical methods
Crops > Growth > Mathematical models
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Cover
  • Title
  • Copyright
  • Table of Contents
  • List of Contributors
  • Preface
  • Overview
  • Section I
  • Methods
  • Chapter 1: The two forms of crop models
  • Chapter 2: Evaluating crop models
  • Chapter 3: Uncertainty and sensitivity analysis for crop models
  • Chapter 4: Parameter estimation for crop models
  • Chapter 5: Data assimilation with crop models
  • Chapter 6: Representing and optimizing management
  • Chapter 7: Using crop models for multiple fields
  • Section II
  • Applications
  • Chapter 10: Crop models with genotype parameters
  • Chapter 11: Model-assisted genetic improvement of crops
  • Chapter 12: Parameterization and evaluation of a corn crop model
  • Chapter 13: Evaluation of a model for kiwifruit
  • Chapter 14: Sensitivity and uncertainty analysis of a static denitrification model
  • Chapter 15: Sensitivity analysis of PASTIS, a model of nitrogen transport and transformation in the soil
  • Chapter 16: Sensitivity analysis of GENESYS, a model for studying the effect of cropping systems on gene flow
  • Chapter 17: Data assimilation and parameter estimation for precision agriculture using the crop model STICS
  • Chapter 18: Application of Extended and Ensemble Kalman Filters to soil carbon estimation
  • Chapter 19: Analyzing and improving corn irrigation strategies with MODERATO, a combination of a corn crop model and a decision model
  • Chapter 20: Managing wheat for ethanol production: a multiple criteria approach
  • Chapter 8: Introduction to Section II
  • Chapter 9: Fundamental concepts of crop models illustrated by a comparative approach
  • Appendix: Statistical notions
  • Answers to Exercises
  • Index
  • Last Page.

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