• DocumentCode
    2704251
  • Title

    Forecasting Method on Pear Scab Based on Fusion Reasoning

  • Author

    Lichuan, Gu ; Zhiwei, Ni ; Shaowen, Li ; Youhua, Zhang

  • Author_Institution
    HeFei Univ. of Technol., Hefei
  • fYear
    2007
  • fDate
    15-19 Dec. 2007
  • Firstpage
    401
  • Lastpage
    404
  • Abstract
    At present, the forecasting methods on fruit diseases have the problems of inefficient reasoning and poor effects of forecasting. In this paper, a integrated reasoning method based on CBR and RBR is studied. A fusion reasoning frame based on CBR and RBR is put forward, a forecasting system on pear scab is designed and developed based on the frame as well. Statistical analysis is conducted between the real data and the forecasting data of Dangshansu pear scab, which shows the new method is better than the current methods in efficiency and precision for forecasting the occurrence tendency of Dangshansu pear scab.
  • Keywords
    agricultural products; case-based reasoning; diseases; statistical analysis; Dangshansu pear scab forecasting method; fruit diseases; fusion reasoning; integrated reasoning method; occurrence tendency; statistical analysis; Artificial intelligence; Computational intelligence; Crops; Diseases; Expert systems; Mathematical model; Mathematics; Predictive models; Technology forecasting; Technology management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Security Workshops, 2007. CISW 2007. International Conference on
  • Conference_Location
    Heilongjiang
  • Print_ISBN
    978-0-7695-3073-4
  • Type

    conf

  • DOI
    10.1109/CISW.2007.4425519
  • Filename
    4425519