Computer-assisted automatic egg fertility control

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dc.authorid0000-0002-2845-4528
dc.authorid0000-0002-2921-506X
dc.authorid0000-0002-0799-2140
dc.authorid0000-0002-5335-5070
dc.contributor.authorBoga, Mustafa
dc.contributor.authorCevik, Kerim Kursat
dc.contributor.authorKocer, Hasan Erdinc
dc.contributor.authorBurgut, Aykut
dc.date.accessioned2020-03-26T20:13:09Z
dc.date.available2020-03-26T20:13:09Z
dc.date.issued2019
dc.departmentSelçuk Üniversitesi, Teknoloji Fakültesi, Elektrik-Elektronik Mühendisliği Bölümüen_US
dc.description.abstractThis research aimed to determine the fertilization control of the eggs in an incubator between 0th and 5th days by image processing techniques via low-priced tools. Three different datasets that were composed of eggs whose images taken at different times in the incubator were prepared. Several filtering and morphology methods, gray level conversion and dynamic thresholding were utilized to process the 15 egg images. Moreover, the original processing codes based on the problem were given. White and Black percentages of binary images were utilized to determine the egg control. According to the test results, for the first dataset; 73.34% of fertility accuracy was achieved on the third day; 100% of fertility accuracy was achieved on the fourth day, for the second dataset; 93.34% of fertility accuracy was achieved on the third day; 93.34% of fertility accuracy was achieved again on the fourth day; for the third dataset, 93.34% of fertility accuracy was achieved on the third day; 100% of fertility accuracy again was achieved on the fourth day. When the results were evaluated, it was seen that egg fertility has been determined successfully automated with low cost tools.en_US
dc.identifier.citationBoğa, M., Çevik, K. K., Koçer, H. E., Burgut, A. (2019). Computer-Assisted Automatic Egg Fertility Control. Kafkas Üniversitesi Veteriner Fakültesi Dergisi, 25(4), 567-574.
dc.identifier.doi10.9775/kvfd.2018.21329en_US
dc.identifier.endpage574en_US
dc.identifier.issn1300-6045en_US
dc.identifier.issue4en_US
dc.identifier.scopusqualityQ3en_US
dc.identifier.startpage567en_US
dc.identifier.urihttps://dx.doi.org/10.9775/kvfd.2018.21329
dc.identifier.urihttps://hdl.handle.net/20.500.12395/37634
dc.identifier.volume25en_US
dc.identifier.wosWOS:000466018400018en_US
dc.identifier.wosqualityQ4en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.institutionauthorKocer, Hasan Erdinc
dc.language.isoenen_US
dc.publisherKAFKAS UNIV, VETERINER FAKULTESI DERGISIen_US
dc.relation.ispartofKAFKAS UNIVERSITESI VETERINER FAKULTESI DERGISIen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectEgg incubatoren_US
dc.subjectPoultry productionen_US
dc.subjectEgg fertility controlen_US
dc.subjectImage processingen_US
dc.subjectDynamic thresholdingen_US
dc.titleComputer-assisted automatic egg fertility controlen_US
dc.typeArticleen_US

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