Working with Dynamic Crop Models

Methods, Tools and Examples for Agriculture and Environment

Nonfiction, Science & Nature, Technology, Agriculture & Animal Husbandry, Business & Finance, Industries & Professions, Industries
Cover of the book Working with Dynamic Crop Models by Daniel Wallach, David Makowski, James W. Jones, Francois Brun, Elsevier Science
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Author: Daniel Wallach, David Makowski, James W. Jones, Francois Brun ISBN: 9780444594464
Publisher: Elsevier Science Publication: November 25, 2013
Imprint: Academic Press Language: English
Author: Daniel Wallach, David Makowski, James W. Jones, Francois Brun
ISBN: 9780444594464
Publisher: Elsevier Science
Publication: November 25, 2013
Imprint: Academic Press
Language: English

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.

  • 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
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

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