Working with dynamic crop models : evaluation, analysis, parameterization, and applications / edited by Daniel Wallach, David Makowski, James W. Jones.
Material type:
TextPublication details: Amsterdam ; London : Elsevier, 2006.Description: 1 online resource (xiv, 447 pages) : illustrationsContent type: - text
- computer
- online resource
- 008046193X
- 9780080461939
- 9780444521354
- 0444521356
- 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
- 631.5/58/015118 22
- SB112.5 .W67 2006eb
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Electronic-Books
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Includes bibliographical references and index.
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.
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.
Print version record.
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