Computer-assisted automatic egg fertility control
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 filte...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Kafkas University, Faculty of Veterinary Medicine
2019-02-01
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| Series: | Kafkas Universitesi Veteriner Fakültesi Dergisi |
| Subjects: | |
| Online Access: | https://vetdergikafkas.org/pdf.php?id=2493 |
| _version_ | 1797800666203160576 |
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| author | Mustafa BOĞA Kerim Kürşat ÇEVİK Hasan Erdinç KOÇER Aykut BURGUT |
| author_facet | Mustafa BOĞA Kerim Kürşat ÇEVİK Hasan Erdinç KOÇER Aykut BURGUT |
| author_sort | Mustafa BOĞA |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-13T04:38:41Z |
| format | Article |
| id | doaj.art-c338a2c08cad407f9cf57f0fdb37f420 |
| institution | Directory Open Access Journal |
| issn | 1309-2251 |
| language | English |
| last_indexed | 2024-03-13T04:38:41Z |
| publishDate | 2019-02-01 |
| publisher | Kafkas University, Faculty of Veterinary Medicine |
| record_format | Article |
| series | Kafkas Universitesi Veteriner Fakültesi Dergisi |
| spelling | doaj.art-c338a2c08cad407f9cf57f0fdb37f4202023-06-19T06:34:21ZengKafkas University, Faculty of Veterinary MedicineKafkas Universitesi Veteriner Fakültesi Dergisi1309-22512019-02-0125456757410.9775/kvfd.2018.213292493Computer-assisted automatic egg fertility controlMustafa BOĞA0Kerim Kürşat ÇEVİK1Hasan Erdinç KOÇER2Aykut BURGUT3Ömer Halisdemir University Bor Vocational School, TR-51700 Bor/Niğde - TURKEYAkdeniz University Faculty of Social Sciences and Humanities, TR-07600 Manavgat/Antalya - TURKEYSelçuk University Faculty of Technology, TR-42130 Selçuklu/Konya - TURKEYÇukurova University Directorate of Research and Application Farm, TR-01230 Sarıçam/Adana - TURKEYThis 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.https://vetdergikafkas.org/pdf.php?id=2493egg incubatorpoultry productionegg fertility controlimage processingdynamic thresholding |
| spellingShingle | Mustafa BOĞA Kerim Kürşat ÇEVİK Hasan Erdinç KOÇER Aykut BURGUT Computer-assisted automatic egg fertility control Kafkas Universitesi Veteriner Fakültesi Dergisi egg incubator poultry production egg fertility control image processing dynamic thresholding |
| title | Computer-assisted automatic egg fertility control |
| title_full | Computer-assisted automatic egg fertility control |
| title_fullStr | Computer-assisted automatic egg fertility control |
| title_full_unstemmed | Computer-assisted automatic egg fertility control |
| title_short | Computer-assisted automatic egg fertility control |
| title_sort | computer assisted automatic egg fertility control |
| topic | egg incubator poultry production egg fertility control image processing dynamic thresholding |
| url | https://vetdergikafkas.org/pdf.php?id=2493 |
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