¹Ömer Halisdemir University Bor Vocational School, TR-51700 Bor/Niğde - TURKEY
²Akdeniz University Faculty of Social Sciences and Humanities, TR-07600 Manavgat/Antalya - TURKEY
³Selçuk University Faculty of Technology, TR-42130 Selçuklu/Konya - TURKEY
⁴Çukurova University Directorate of Research and Application Farm, TR-01230 Sarıçam/Adana - TURKEY DOI : 10.9775/kvfd.2018.21329 This 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. Keywords : Egg incubator, Poultry production, Egg fertility control, Image processing, Dynamic thresholding