IPez: An expert system for the taxonomic identification of fishes

Species identification for fishery purposes has been the subject of a major Food and Agriculture Organization (FAO) program since the 1960s. Optimization of the world-Wide community efforts in generating and sharing taxonomically related knowledge in a global network is a current challenge calling f...

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Bibliographic Details
Main Author: Guisande Gonzalez, Castor
Format: Book Chapter
Language:English
Subjects:
Brackish
Freshwater
Marine
Online Access:Get full text
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Summary:Species identification for fishery purposes has been the subject of a major Food and Agriculture Organization (FAO) program since the 1960s. Optimization of the world-Wide community efforts in generating and sharing taxonomically related knowledge in a global network is a current challenge calling for an urgent solution. Therefore, to develop an automated species identification system would be very useful, because it would improve catch statistics through fast accurate species identification. Meristic and morphometric characters are powerful tools for measuring discreteness and relationships among fish species. For this reason, analysis of morphometric and meristic characters has been widely used by ichthyologists to differentiate between different species and among different populations within a species (Cadrin 2000; Wainwright 2007). However, despite automated species identification might be a good option to the burden of routine fish taxonomic identification, there is not an automated taxonomic identification system for fishes based on morphological characters. In fact, automated species identification based on morphological characteristics has not become Widely employed in any discipline of the biology (Gaston and O'Neill 2004). IPez strenghts as an automated species identification system are explained.
ISSN:2070-7010