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dc.creatorFroese, R.
dc.creatorAchenbach, I.
dc.creatorPapasissi, C.
dc.date.accessioned2019-04-11T01:51:21Z
dc.date.available2019-04-11T01:51:21Z
dc.date.issued1990
dc.identifierFB_3112.pdf
dc.identifier.citationFishbyte 8 (2): 25-27
dc.identifier.urihttps://hdl.handle.net/20.500.12348/3150
dc.description.abstractModern databases can be successfully used to develop computer-based identification systems. In a first case study, fish larvae were identified with an average of three easily obtained characters. In a second case study, 17 fish diseases out of 20 were diagnosed directly, using an average of six gross signs of a disease. A comparison of computer-based identification systems reveals that i) expert systems can be viewed as a very comfortable modern version of traditional identification keys, ii) numerical methods open the way to automatic identification but depend on expensive hard- and software, and iii) modern databases represent powerful, yet easy to use identification systems.
dc.formatapplication/pdf
dc.languageEn
dc.publisherICLARM
dc.rightsCC BY 4.0
dc.sourceFisbyte
dc.titleComputer-aided approaches to identification. III: (Conclusion) . Modern databases
dc.typeJournal Article
dcterms.bibliographicCitationFroese, R.; Achenbach, I.; Papasissi, C. (1990). Computer-aided approaches to identification. III: (Conclusion) . Modern databases. Fishbyte 8 (2): 25-27
cg.identifier.worldfish3112
cg.subject.agrovocdatabases
cg.subject.agrovocfish diseases
cg.subject.agrovocsurveys
cg.contributor.affiliationICLARM
cg.identifier.statusOpen access
cg.description.themeMiscellaneous
cg.identifier.urlhttp://www.worldfishcenter.org/Naga/FB_3112.pdf


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