Working with Dynamic Crop Models: Methods, Tools and Examples for Agriculture and Environment 3e is once again completely revised and updated ensuring 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 while providng ore understanding of the related concepts.
Known for not being a "numerical recipes" book, Working with Dynamic Crop Models is designs 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 technique and software and provides examples for applicable learning
- Features an integrative chapter illustrating how the different topics fit together in a complete modeling project
Researchers and advanced students in agronomy, agricultural and biological engineering, agricultural economics and agricultural statistics
Section 1: Basics
Section 2: Methods
- No. of pages:
- © Academic Press 2019
- 1st September 2018
- Academic Press
- eBook ISBN:
- Hardcover ISBN:
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.
Institut National de la Recherche Agronomique INRA, UMR INRA/INP, Toulouse, France
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.
Institut National de la Recherche Agronomique INRA, UMR INRA/INA, Thiverval-Grignon, France
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.
University of Florida, Agricultural and Biological Engineering Department, Gainesville, FL, USA
Francois Brun specializes in agricultural modeling systems using the R language, and has published in Journal of Experimental Botany.
ACTA-INRA Toulouse, Castanet Tolosan, France