Working with Dynamic Crop Models

Working with Dynamic Crop Models, 2nd Edition

Methods, Tools and Examples for Agriculture and Environment

Working with Dynamic Crop Models, 2nd Edition,Daniel Wallach,David Makowski,James Jones,Francois Brun,ISBN9780123970084

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Academic Press




229 X 152

Detailed explanations and descriptions of methods for working with dynamic system models in crop and agricultural sciences, including real-world examples and computer code

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Key Features


  • 50% new content - 100% reviewed and updated
  • Clearly explains practical application of the methods presented, including R language examples
  • Presents real-life examples of core crop modeling methods, and ones that are translatable to dynamic system models in other fields


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 introduction, a detailed explanation of the available methods, applications of the methods to one or two simple models that are followed throughout the book, real-life examples of the methods from literature, and finally a section detailing implementation of the methods using the R programming language.

The consistent use of R makes this book immediately and directly applicable to scientists seeking to develop models quickly and effectively, and the selected examples ensure broad appeal to scientists in various disciplines.


Researchers and students in agronomy, agricultural engineering, agricultural economics and agricultural statistics, and advanced biological systems modeling

Daniel Wallach

Affiliations and Expertise

Institut National de la Recherche Agronomique INRA, UMR INRA/INP, Toulouse, France

David Makowski

Affiliations and Expertise

Institut National de la Recherche Agronomique INRA, UMR INRA/INA, Thiverval-Grignon, France

James Jones

Affiliations and Expertise

University of Florida, Agricultural and Biological Engineering Department, Gainesville, Florida, U.S.A.

Francois Brun

Affiliations and Expertise

ACTA-INRA Toulouse, Castanet Tolosan, France

Working with Dynamic Crop Models, 2nd Edition



Section I Basics

1. Basics of Agricultural System Models

2. Statistical notions useful for modeling

3. The R programming language and software

4. Simulation with dynamic system models

Section II Methods

5. Uncertainty and sensitivity analysis

6. Parameter estimation with classical methods

7. Bayesian methods for parameter estimation

8. Data assimilation for dynamic models

9. Model evaluation

10. Putting it all together in a case study


Appendix 1. Model descriptions

Appendix 2. An overview of the R package ZeBook

Quotes and reviews

"This edition adds chapters on the basics of dynamic system models, statistics, and simulation; examples of how the methods can be applied to real-world problems; advanced methods for parameter estimation, model evaluation, and data assimilation; a new chapter on how the topics fit together in a complete modeling project; and information on how to use the R language and platform."--ProtoView.com, April 2014

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