An Expert System to identify Gymnosperms

نویسندگان

  • Antonio B. Bailón
  • Eva Gibaja
  • Ramón Pérez
  • Carmen Quesada
چکیده

The application of Artificial Intelligence (AI) techniques to the problem of botanical identification is not particularly widespread even less so on Internet. There are several interactive identification systems but they usually deal with raw knowledge so it appears that “research and development of web-based expert systems are still in their early stage” (Li et al., 2002). In this paper we present the G.R.E.E.N. (Gymnosperms Remote Expert Executed over Network) system as an expert system for the identification of Iberian Gymnosperms which allows on-line uncertainty queries to be made. The system is operative and it can be consulted in http://drimys.ugr.es/experto/index.html.

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تاریخ انتشار 2010