Working with Dynamic Crop Models. Edition No. 3

  • ID: 4482939
  • Book
  • 528 Pages
  • Elsevier Science and Technology
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Working with Dynamic Crop Models: Methods, Tools and Examples for Agriculture and Environment, Third Edition, presents a completely revised and updated edition ensuring that those seeking to understand and apply methods for working with dynamic models have applicable insight into current modeling. Structured by topic, each chapter includes an introduction, a detailed explanation of available methods, illustrations showing how the methods can be applied, and a detailed description of their implementation. The examples guide readers to direct, effective and efficient application of the methods that are accompanied by the core concepts they need to be successful.

Known for not simply being a numerical recipes book, the book is designed for relative ease in adapting the provided code to new problems and challenges.

  • Includes new chapters on ensemble modeling, meta-models, gene-based modeling and improved strategies for using models
  • Presents insights on modeling, from the basics, to the most recent advances in techniques and software
  • Provides examples for applicable learning
  • Features an integrative chapter illustrating how different topics fit together in a complete modeling project
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Section I Background 1. Basics of Agricultural System Models 2. The R programming language and software 3. Simulation with dynamic system models 4. Statistical notions useful for modeling 5. Regression analysis

Section II Basic methods 6. Uncertainty and sensitivity analysis 7. Parameter estimation, classical (frequentist) approach 8. Parameter estimation, Bayesian approach 9. Model evaluation 10. Putting it all together in a case study

Section III Advanced methods 11. Meta-models 12. Working with ensembles of models 13. Gene based modeling 14. Data assimilation for dynamic models 15. Models as an aid to sampling

Appendices 1. Model descriptions 2. An overview of the R package ZeBook

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Wallach, Daniel
Daniel Wallach focuses on the application of statistical methods of dynamic systems, specifically on agronomy models. He has published in Agriculture, Ecosystems and Environment; Journal of Agricultural, Biological and Environmental Statistics and European Journal of Agronomy.
Makowski, David
David Makowski is an expert with the European Food Safety authority and the French Agency for Food, Environmental and Occupational Health and Safety and has authored 50 refereed articles and 10 book chapters on statistics, agricultural modeling and risk analysis.
Jones, James W.
James Jones has authored more than 250 refereed scientific journal articles, developed and teached a graduate course based mostly on this book. He is a Fellow of the American Society of Agricultural and Biological Engineers, Fellow of the American Society of Agronomy, Fellow of the Soil Science Society of America and serves on several international science advisory committees related to agriculture and climate.
Brun, Francois
Francois Brun specializes in agricultural modeling systems using the R language, and has published in Journal of Experimental Botany.
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