Computer-Assisted Automatic Egg Fertility Control

dc.contributor.authorBoğa, Mustafa
dc.contributor.authorÇevik, Kerim Kürşat
dc.contributor.authorKoçer, Hasan Erdinç
dc.contributor.authorBurgut, Aykut
dc.date.accessioned2024-11-07T13:19:36Z
dc.date.available2024-11-07T13:19:36Z
dc.date.issued2019
dc.departmentNiğde Ömer Halisdemir Üniversitesi
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.
dc.identifier.doi10.9775/kvfd.2018.21329
dc.identifier.endpage574
dc.identifier.issn1300-6045
dc.identifier.issn1309-2251
dc.identifier.issue4
dc.identifier.startpage567
dc.identifier.trdizinid381222
dc.identifier.urihttps://doi.org/10.9775/kvfd.2018.21329
dc.identifier.urihttps://search.trdizin.gov.tr/tr/yayin/detay/381222
dc.identifier.urihttps://hdl.handle.net/11480/13235
dc.identifier.volume25
dc.indekslendigikaynakTR-Dizin
dc.language.isoen
dc.relation.ispartofKafkas Üniversitesi Veteriner Fakültesi Dergisi
dc.relation.publicationcategoryMakale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_20241107
dc.subjectBilgisayar Bilimleri
dc.subjectYazılım Mühendisliği
dc.subjectVeterinerlik
dc.titleComputer-Assisted Automatic Egg Fertility Control
dc.typeArticle

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