• DocumentCode
    2611652
  • Title

    AgriMine: A tool for mining agricultural problems and their solutions

  • Author

    El-Beltagy, Samhaa R. ; Rafea, Ahmed ; Mabrouk, Said ; Rafea, Mahmoud

  • Author_Institution
    Fac. of Comput. & Inf., Cairo Univ., Cairo, Egypt
  • fYear
    2010
  • fDate
    27-28 Dec. 2010
  • Firstpage
    81
  • Lastpage
    85
  • Abstract
    This paper presents AgriMine which is a tool that was developed in order to mine agricultural problems accumulated in a textual database over a period of 5 years. The problems, which are accompanied by their solutions, offer a wealth of knowledge that can be used by decision makers, researchers, and farmers alike. However, this wealth of knowledge cannot be unlocked without first representing these problems in a structured format, and secondly applying algorithms that can summarize and analyze this information. Towards the achievement of the first goal, a multi-faceted object extraction methodology is presented, and for the achievement of the second, association rules are employed. As a proof of concept, the tool was applied of a set of weed problems. The presented methodology can be modified to work with any help and support textual database where both problems and their solutions are present.
  • Keywords
    agriculture; data mining; database management systems; AgriMine; agricultural problem mining; association rules; multifaceted object extraction methodology; textual database; weed problems; Databases; Engines; agriculture; association rules; data mining; information extraction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Engineering Conference (ICENCO), 2010 International
  • Conference_Location
    Giza
  • Print_ISBN
    978-1-61284-184-7
  • Type

    conf

  • DOI
    10.1109/ICENCO.2010.5720431
  • Filename
    5720431