• DocumentCode
    669351
  • Title

    An Expert System development: Its application on Diagnosing Oyster Mushroom Diseases

  • Author

    Munirah, M.Y. ; Rozlini, M. ; Siti Mariam, Y.

  • Author_Institution
    Fak. Sains Komputer dan Teknol. Maklumat, Univ. Tun Hussein Onn Malaysia, Batu Pahat, Malaysia
  • fYear
    2013
  • fDate
    20-23 Oct. 2013
  • Firstpage
    329
  • Lastpage
    332
  • Abstract
    This paper present a research and development of an expert system for application on diagnosing diseases by employing expert system technique in agriculture domain. Hence, an Expert System for Diagnosing Oyster Mushroom Diseases was proposed for this research. This system enables user to recognize diseases cause by mold, bacteria, virus, insects and other pests faced by mushroom farm owner through online expert system. In addition, the system provide user advises or treatments in for specified mushroom diseases in shorter time period. User will answer questions based on the mushroom condition and symptoms. It will then helps in detecting the related diseases and provide treatment suggestion. A rule based and forward chaining inference engine has been used for the development of the system. With this system, it helps and allows user in diagnosing mushroom diseases via online system and provide useful suggestion to user.
  • Keywords
    agriculture; expert systems; forward chaining; inference mechanisms; plant diseases; agriculture; bacteria; disease detection; forward chaining inference engine; insects; mold; mushroom farm; online expert system; oyster mushroom disease diagnosis; pests; research and development; rule based inference engine; treatment suggestion; virus; Diseases; Media; Medical diagnostic imaging; expert system; forward chaining; oyster mushroom;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control, Automation and Systems (ICCAS), 2013 13th International Conference on
  • Conference_Location
    Gwangju
  • ISSN
    2093-7121
  • Print_ISBN
    978-89-93215-05-2
  • Type

    conf

  • DOI
    10.1109/ICCAS.2013.6703917
  • Filename
    6703917