Working with dynamic crop models : methods, tools and examples for agriculture and environment / [edited by] Daniel Wallach, David Makowski, James W. Jones, Francois Brun.
This second edition of Working with Dynamic Crop Models is meant for self-learning by researchers or for use in graduate level courses devoted to methods for working with dynamic models in crop, agricultural, and related sciences. Each chapter focuses on a particular topic and includes an introducti...
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Full Text (via ScienceDirect) |
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Other Authors: | , , , |
Format: | eBook |
Language: | English |
Published: |
London :
Academic Press/Elsevier Science,
[2014]
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Edition: | Second edition. |
Subjects: |
Table of Contents:
- 1. Basics of agricultural system models
- 2. Statistical notions useful for modeling
- 3. The R programming language software
- 4. Simulation with dynamic system models
- 5. Uncertainty and sensitivity analysis
- 6. Parameter estimation with classical methods (model calibration)
- 7. Parameter estimation with Bayesian methods
- 8. Data assimilation for dynamic models
- 9. Model evaluation
- 10. Putting it all together in a case study.