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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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Wallach, Daniel, 1942- (Editor ), Makowski, David, 1972- (Editor ), Jones, James Wigington, 1944- (Editor ), Brun, Fran�cois (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: London : Academic Press/Elsevier Science, [2014]
Edición:Second edition.
Temas:
Crop yields > Mathematical models.
Crops > Growth > Mathematical models.
Cultures > Rendement > Mod�eles math�ematiques.
Cultures > Croissance > Mod�eles math�ematiques.
TECHNOLOGY & ENGINEERING > Agriculture > General.
Crop yields > Mathematical models
Crops > Growth > Mathematical models
Acceso en línea:Texto completo
Tabla de Contenidos:
  • 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.

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