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Working with dynamic crop models : methods, tools and examples for agriculture and environment /

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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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Bibliographic Details
Corporate Author: ScienceDirect (Online service)
Other Authors: Wallach, Daniel, 1942- (Editor), Makowski, David, 1972- (Editor), Jones, James Wigington, 1944- (Editor), Brun, François (Editor)
Format: eBook
Language:English
Published: London : Academic Press/Elsevier Science, [2014]
Edition:Second edition.
Subjects:
Crop yields > Mathematical models.
Crops > Growth > Mathematical models.
Cultures > Rendement > Modèles mathématiques.
Cultures > Croissance > Modèles mathématiques.
TECHNOLOGY & ENGINEERING > Agriculture > General.
Crop yields > Mathematical models
Crops > Growth > Mathematical models
Electronic books.
Online Access:Connect to the full text of this electronic book
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.