Boga, MustafaCevik, Kerim KursatKocer, Hasan ErdincBurgut, Aykut2020-03-262020-03-262019Boğa, M., Çevik, K. K., Koçer, H. E., Burgut, A. (2019). Computer-Assisted Automatic Egg Fertility Control. Kafkas Üniversitesi Veteriner Fakültesi Dergisi, 25(4), 567-574.1300-6045https://dx.doi.org/10.9775/kvfd.2018.21329https://hdl.handle.net/20.500.12395/37634This 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.en10.9775/kvfd.2018.21329info:eu-repo/semantics/openAccessEgg incubatorPoultry productionEgg fertility controlImage processingDynamic thresholdingArticle254567574Q3WOS:000466018400018Q4