rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Working with dynamic crop models
    sub title: methods, tools and examples for agriculture and environment
  name:
    name part: Wallach, Daniel
    name part: 1942-
    role:
      role term: editor.
  name:
    name part: Makowski, David
    name part: 1972-
    role:
      role term: editor.
  name:
    name part: Jones, James Wigington
    name part: 1944-
    role:
      role term: editor.
  name:
    name part: Brun, François
    role:
      role term: editor.
  name:
    name part: ScienceDirect (Online service)
  type of resource: text
  genre: bibliography
  genre: Electronic books.
  origin info:
    place:
      place term: enk
    date issued: 2013
    edition: Second edition.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource (xvi, 487 pages) : illustrations
  abstract: 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.
  table of contents: 1. Basics of agricultural system models -- 2. Statistical notions useful for modeling -- 3. The R programming language software -- 4. Simulation with dynamic system models -- 5. Uncertainty and sensitivity analysis -- 6. Parameter estimation with classical methods (model calibration) -- 7. Parameter estimation with Bayesian methods -- 8. Data assimilation for dynamic models -- 9. Model evaluation -- 10. Putting it all together in a case study.
  note: [edited by] Daniel Wallach, David Makowski, James W. Jones, Francois Brun.
  note: Includes bibliographical references and index.
  subject:
    topic: Crop yields
    topic: Mathematical models
  subject:
    topic: Crops
    topic: Growth
    topic: Mathematical models
  subject:
    topic: Cultures
    topic: Rendement
    topic: Modèles mathématiques
  subject:
    topic: Cultures
    topic: Croissance
    topic: Modèles mathématiques
  subject:
    topic: TECHNOLOGY & ENGINEERING
    topic: Agriculture
    topic: General
  subject:
    topic: Crop yields
    topic: Mathematical models
  subject:
    topic: Crops
    topic: Growth
    topic: Mathematical models
  classification: SB112.5
  classification: 631.5 631.5/8/015118 631.58015118
  related item:
    title info:
      title: Working with dynamic crop models
    origin info:
      publisher: Amsterdam : Academic Press, 2013
      edition: 2nd edition.
    identifier: (OCoLC)858004520
  identifier: 1306195659
  identifier: 9781306195652
  identifier: 9780444594464
  identifier: 0444594469
  identifier: 9780123970084
  identifier: 0123970083
  identifier: 550816 MIL
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: EBLCP
    record creation date: 131214
    record change date: 20260326195721.8
    record identifier: in00005753293
    language of cataloging:
      language term: eng