Working with Dynamic Crop Models
Methods, Tools and Examples for Agriculture and Environment
- Daniel Wallach, Institut National de la Recherche Agronomique INRA, UMR INRA/INP, Toulouse, France
- David Makowski, Institut National de la Recherche Agronomique INRA, UMR INRA/INA, Thiverval-Grignon, France
- James Jones, University of Florida, Agricultural and Biological Engineering Department, Gainesville, Florida, U.S.A.
- Francois Brun, ACTA-INRA Toulouse, Castanet Tolosan, France
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