Working with dynamic crop models evaluation, analysis, parameterization, and applications (Elsevier, 2006)
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