G.R.E.E.N. - An Expert System to identify Gymnosperms

Antonio B. Bailón, Eva Gibaja, Ramón Pérez, Carmen Quesada


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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Paper Citation

in Harvard Style

B. Bailón A., Gibaja E., Pérez R. and Quesada C. (2004). G.R.E.E.N. - An Expert System to identify Gymnosperms . In Proceedings of the Sixth International Conference on Enterprise Information Systems - Volume 2: ICEIS, ISBN 972-8865-00-7, pages 216-221. DOI: 10.5220/0002642702160221

in Bibtex Style

author={Antonio B. Bailón and Eva Gibaja and Ramón Pérez and Carmen Quesada},
title={G.R.E.E.N. - An Expert System to identify Gymnosperms},
booktitle={Proceedings of the Sixth International Conference on Enterprise Information Systems - Volume 2: ICEIS,},

in EndNote Style

JO - Proceedings of the Sixth International Conference on Enterprise Information Systems - Volume 2: ICEIS,
TI - G.R.E.E.N. - An Expert System to identify Gymnosperms
SN - 972-8865-00-7
AU - B. Bailón A.
AU - Gibaja E.
AU - Pérez R.
AU - Quesada C.
PY - 2004
SP - 216
EP - 221
DO - 10.5220/0002642702160221