Morphometric analysis of Crayfish - traditional and artificial intelligent approach

dc.contributor.authorBenzer, Semra
dc.contributor.authorBenzer, Recep
dc.contributor.orcID0000-0002-5339-0554en_US
dc.contributor.researcherIDA-5050-2014en_US
dc.date.accessioned2022-12-12T10:48:02Z
dc.date.available2022-12-12T10:48:02Z
dc.date.issued2022
dc.description.abstractCrayfish are crustaceans of cultural importance in most countries, traditionally consumed on important occasions for centuries, and of high economic value in the market. This study was carried out to analyze some morphological characteristics, the total length of total weight, the carapace length total length, the chela length total length, the abdomen length total length relationships, properties, and ratios of freshwater crayfish (Astacus leptodactylus Eschscholtz 1823) in Iznik Lake. Length-weight and length-length relationships with traditional methods and artificial neural networks, which are the most important subfields of artificial intelligence, have been evaluated. The total length-weight relationships for males, females and all individuals were found to be: W = 0.08197221 L (2.61) (R-2 = 0.941), W = 0.08252047 L (2.53) (R-2 = 0.948) and W = 0.06874014 L (2.65) (R-2 = 0.927), respectively. As a result, the morphometric relationships in Astacus leptodactylus examined in this study will provide information for future studies and monitoring management plans with traditional and artificial intelligence approaches.en_US
dc.identifier.issn0212-5919en_US
dc.identifier.scopus2-s2.0-85130244276en_US
dc.identifier.urihttp://hdl.handle.net/11727/8265
dc.identifier.wos000798331000001en_US
dc.language.isoengen_US
dc.relation.isversionof10.1007/s41208-022-00447-zen_US
dc.relation.journalTHALASSASen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergien_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectCrayfishen_US
dc.subjectMorphometric analysisen_US
dc.subjectArtificial neural networksen_US
dc.subjectIznik Lakeen_US
dc.titleMorphometric analysis of Crayfish - traditional and artificial intelligent approachen_US
dc.typearticleen_US

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