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Working with Dynamic Crop Models
Methods, Tools and Examples for Agriculture and Environment

Presents detailed explanations and descriptions of the latest methods for working with dynamic systems models, including real-world examples and computer code

Daniel Wallach (Author), David Makowski (Author), James W. Jones (Author), Francois Brun (Author)

9780128117569

Hardback, published 28 September 2018

613 pages
22.9 x 15.1 x 3.4 cm, 1.26 kg

Approx.597 pages

Section A Background 1. Basics of Agricultural System Models 2. The R Programming Language and Software 3. Simulation with Dynamic System Models 4. Statistical Notions Useful for Modeling 5. Regression Analysis, Frequentist

Section B Basic methods 6. Uncertainty and Sensitivity Analysis 7. Calibration of System Models

8. Parameter Estimation With Bayesian Methods 9. Model Evaluation 10. Putting It All Together in a Case Study

Section C Advanced Methods 11. Metamodeling 12. Multimodel Ensembles 13. Gene-Based Crop Models 14. Data Assimilation for Dynamic Models 15. Models as an Aid to Sampling

Appendix 1:   The Models Included in the ZeBook R Package: Description, R Code, and Examples of Results

Appendix 2:  An Overview of the R Package ZeBook

Subject Areas: Agronomy & crop production [TVK], Agricultural science [TVB], Environmental science, engineering & technology [TQ]

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