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

✍ Scribed by Daniel Wallach, David Makowski, James W. Jones and Francois Brun (Auth.)

• Publisher: Academic Press
• Year: 2014
• Tongue: English
• Leaves: 484
• Edition: 2
• Category: Library

✦ Synopsis

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.

NEW TO THIS EDITION:

• 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

✦ Table of Contents

Content:
Front-matter, Pages i-iii
Copyright, Page iv
Preface, Pages xiii-xvi
Chapter 1 - Basics of Agricultural System Models, Pages 3-44
Chapter 2 - Statistical Notions Useful for Modeling, Pages 45-69
Chapter 3 - The R Programming Language and Software, Pages 71-117
Chapter 4 - Simulation with Dynamic System Models, Pages 119-157
Chapter 5 - Uncertainty and Sensitivity Analysis, Pages 161-204
Chapter 6 - Parameter Estimation with Classical Methods (Model Calibration), Pages 205-276
Chapter 7 - Parameter Estimation with Bayesian Methods, Pages 277-309
Chapter 8 - Data Assimilation for Dynamic Models, Pages 311-343
Chapter 9 - Model Evaluation, Pages 345-406
Chapter 10 - Putting It All Together in a Case Study, Pages 407-436
Appendix 1 - The Models Included in the ZeBook R Package: Description, R Code, and Examples of Results, Pages 437-467
Appendix 2 - An Overview of the R Package ZeBook, Pages 469-477
Index, Pages 479-487