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: Integrated pest management model for cotton production
  name:
    name part: Yu, Tsui-Fan.
    role:
      role term: creator
  name:
    name part: Curry, G. L.
    role:
      role term: degree committee member.
  name:
    name part: DeMichele, Don W.
    role:
      role term: degree supervisor.
  name:
    name part: Feldman, R. M.
    role:
      role term: degree committee member.
  name:
    name part: Matis, J. H.
    role:
      role term: degree committee member.
  name:
    name part: Sharpe, P. J.
    role:
      role term: degree committee member.
  name:
    name part: Texas A & M University
    role:
      role term: degree granting institution.
  type of resource: text
  genre: bibliography
  genre: Academic theses.
  origin info:
    place:
      place term: txu
    date issued: 1978
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: print
    extent: ix, 164 leaves : illustrations ; 28 cm
  abstract: The cotton ecosystem can be seen as a dynamic biological system that occasionally must be adjusted when one element, such as insect pests, gains undue strength. The objective of this research has been to develop a computerized, integrated pest management model for cotton production. This model is intended to be appropriate for a variety of uses, including practical optimization applications, research concerning cotton ecosystems, and an experimental tool for understanding the cotton ecosystem. The multi-stage decision problem of cotton plant and insect populations are developed to describe the entire cotton ecosystems. Next, the concept of dynamic programming with a stochastic weather component is used to determine optimal control policies. Documentation describing the dynamic programming structure of the decision model is provided. The rationale used in the design considerations, and instructions for utilization of the computer model is also included. Optimal decision by an analysis of the model results, will be presented in conjunction with a sensitivity analysis.
  note: by Tsui-Fan Yu.
  note: "Major subject: Industrial Engineering."
  note: Vita.
  note: Texas A & M University
  note: Includes bibliographical references (leaves 117-122).
  subject:
    topic: Cotton
    topic: Diseases and pests
  subject:
    topic: Pests
    topic: Control
  subject:
    topic: Industrial Engineering
  subject:
    topic: Cotton
    topic: Diseases and pests
  subject:
    topic: Pests
    topic: Control
  identifier: http://proxy.library.tamu.edu/login
  identifier: https://hdl.handle.net/1969.1/DISSERTATIONS-252557
  related item:
    location:
      url: http://proxy.library.tamu.edu/login
  related item:
    location:
      url: https://hdl.handle.net/1969.1/DISSERTATIONS-252557
  record info:
    record content source: TXA
    record creation date: 790712
    record change date: 20220103135349.0
    record identifier: in00000246442
    language of cataloging:
      language term: eng