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About this book
Application of statistical and mathematical methods to crop models. Much of the material in this book is also applicable to dynamic system models in other fields.
1 The two forms of crop models 2 Evaluating crop models 3 Uncertainty and sensitivity analysis for crop models 4 Parameter estimation for crop models 5Data assimilation with crop models 6 Representing and optimizing management decisions with crop models 7 Using crop models for multiple fields SECTION II APPLICATIONS 8 Introduction to section II 9 Fundamental concepts of crop models illustrated by a comparative approach 10 Crop models with genotype parameters 11 Model assisted genetic improvement of crops 12 Parameterization and evaluation of a corn crop model 13 Evaluation of a model for kiwifruit 14 Sensitivity and uncertainty analysis of a static denitrification model 15 Sensitivity analysis of PASTIS, a model of nitrogen transport and transformation in the soil 16 Sensitivity analysis of GENESYS, a model for studying the effects of cropping system on gene flow 17 Data assimilation and parameter estimation for precision agriculture with the crop model STICS 18 Application of extended and ensemble Kalman filters to soil carbon estimation 19 Analyzing and improving corn irrigation strategies with MODERATO, a combination of a corn crop model and a decision model 20 Managing wheat for ethanol production. A multiple criteria approach