Working With Dynamic Crop Models (Hardcover)

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
5 Data 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