• DocumentCode
    1712332
  • Title

    Prediction of Parthenium weed infestation using fuzzy logic applied to geographic information system (GIS) spatial image

  • Author

    Chiou, Andrew ; Yu, Xinghuo

  • Author_Institution
    Fac. of Informatics & Commun., Central Queensland Univ., Rockhampton, Qld., Australia
  • Volume
    3
  • fYear
    2001
  • fDate
    6/23/1905 12:00:00 AM
  • Firstpage
    1363
  • Lastpage
    1366
  • Abstract
    This paper demonstrates the framework and methodology how Parthenium weed population can be predicted using rule-base fuzzy logic as applied to GIS spatial image
  • Keywords
    agriculture; ecology; fuzzy logic; geographic information systems; knowledge based systems; spatial reasoning; vegetation mapping; Australia; Central Queensland; GIS spatial image; fuzzy logic; geographic information system spatial image; parthenium weed infestation prediction; rule-base fuzzy logic; Australia; Computational Intelligence Society; Costs; Economic forecasting; Electrical equipment industry; Expert systems; Fuzzy logic; Geographic Information Systems; Industrial control; Informatics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems, 2001. The 10th IEEE International Conference on
  • Conference_Location
    Melbourne, Vic.
  • Print_ISBN
    0-7803-7293-X
  • Type

    conf

  • DOI
    10.1109/FUZZ.2001.1008911
  • Filename
    1008911
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1712332