Computer-aided approaches to identification. III: (Conclusion) . Modern databases
cg.contributor.affiliation | ICLARM | |
cg.description.theme | Miscellaneous themes | en_US |
cg.identifier.status | Open access | |
cg.identifier.url | http://www.worldfishcenter.org/Naga/FB_3112.pdf | |
cg.identifier.worldfish | 3112 | |
cg.subject.agrovoc | databases | |
cg.subject.agrovoc | fish diseases | |
cg.subject.agrovoc | surveys | |
dc.creator | Froese, R. | |
dc.creator | Achenbach, I. | |
dc.creator | Papasissi, C. | |
dc.date.accessioned | 2019-04-11T01:51:21Z | |
dc.date.available | 2019-04-11T01:51:21Z | |
dc.date.issued | 1990 | |
dc.description.abstract | Modern 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.format | application/pdf | |
dc.identifier | FB_3112.pdf | |
dc.identifier.citation | Fishbyte 8 (2): 25-27 | |
dc.identifier.uri | https://hdl.handle.net/20.500.12348/3150 | |
dc.language | en | |
dc.publisher | ICLARM | |
dc.rights | CC BY 4.0 | |
dc.source | Fisbyte | |
dc.title | Computer-aided approaches to identification. III: (Conclusion) . Modern databases | |
dc.type | Journal Article | |
dcterms.bibliographicCitation | Froese, R.; Achenbach, I.; Papasissi, C. (1990). Computer-aided approaches to identification. III: (Conclusion) . Modern databases. Fishbyte 8 (2): 25-27 |
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