Yıl: 2020 Cilt: 8 Sayı: 5 Sayfa Aralığı: 1122 - 1126 Metin Dili: İngilizce DOI: 10.24925/turjaf.v8i5.1122-1126.3308 İndeks Tarihi: 08-11-2020

Experimental Recognition System for Dirty Eggshell by Using Image Analysis Technique

Öz:
The present study was focused on the design and implementation of an experimental recognitionsystem for dirty chicken eggshell by using an image analysis technique. Image analysis basedobservation and evaluation techniques can be used efficiently and effectively for agricultural productquality control. Dirt stains on eggs are the result of mainly by feces (black to light brown stains), uricacid (white stains), yolk, and blood. The experimental system was used to obtain dark level imagesof dirty stains of chicken eggs owing to feces. For this aim, the dirty chicken eggs which have dirtyparts were put under a webcam, and dirtiness degree was evaluated by using developed imageanalysis software at the LabVIEW platform. For the experiment, 100 clean and 100 dirty eggs wereused to accurate the determination of dark stains. The results of the research showed that the designedexperimental system pointed an accuracy of 99.8% at painted grade eggs. On the other hand, theaccuracy of the differentiation of the dirt stains by feces was 98.5%. The developed system can beupgraded for developing egg sorting machines by presence-absence of dirty stains in eggshell
Anahtar Kelime:

Belge Türü: Makale Makale Türü: Araştırma Makalesi Erişim Türü: Erişime Açık
  • Anonymous, 1998. Salmonella Enteritidis risk assessment: shell eggs and egg products, final report.U.S. Department of Agriculture, Food Safety and Inspection Service, Washington, D. C.
  • Anonymous, 2018. Available from: http://www.fao.org/faostat/ en/#data/QL. (14.09.2018).
  • Cantor A, McFarlane VH. 1948. Salmonella organisms on and in chicken eggs. Poult. Sci., 27:350-355.
  • Elster RT, Goodrum JW. 1991. Detection of cracks in eggs using machine vision. Trans. ASAE, 30:307-312.
  • Garcia-Alegre MC, Enciso J, Ribeiro A, Guinea D. 1997. Towards an automatic visual inspection of eggshell defects. Proc. Int. Workshop on Robotics and Automated Machinery for Bio-Productions, Gandia, Spain, 51–66.
  • Garcia-Alegre MC, Ribeiro A, Guinea D, Cristobal G. 2000. Colour index analysis for automatic detection of eggshell defects. Proc. SPIE, 3966:380-387.
  • Goodrum JW, Elster RT. 1992. Machine vision for crack detection in rotating eggs. Trans. ASAE., 35: 1323-1328.
  • Hambrech E, Teirlynck E, Page G, Leek A. 2017. Turkey production without antibiotics Proc. of the 11th. Turkey Science and Production Conference, Chester, UK.
  • Han YJ, Feng Y. 1994. Egg shell inspection using global image analysis. Appl. Eng. Agric., 10:109–114.
  • Li Y, Dhakal S, Peng Y. 2012. A machine vision system for identification of micro-crack in egg shell. J. Food Eng., 109:127-134.
  • Mertens K, De Ketelaere B, Kamers B, Bamelis FR, Kemps BJ, Verhoelst EM, De Baerdemaeker JG, Decuypere EM. 2005. Dirt detection on brown eggs by means of colour computer vision. Poult. Sci., 84: 1653–1659.
  • Mertens K, Kemps B, Perianu C, De Baerdemaeker J, Decuypere E, De Ketelaere B. 2011. Advances in defect detection, quality assessment and automated sorting and grading. In Improving the safety and quality of eggs and egg products. Ed. Yves Nys, Maureen Bain and Filip Van Immerseel. Voodhead Publishing Ltd., Cambridge, U.K.
  • Michel V, Arnould C, Mirabito L, Guemene D. 2007. Systeme de production et bien-etre en elevage de poules pondeuses, Inra Prod. Anim., 20: 47-52.
  • Minitab Inc. 2004. Minitab Release Version 14, Minitab Inc., State Collage, PA.
  • Özkan H. 2012. A real-time quality control application for animal production by image processing. Master Thesis, Department of Electronic and Computer Education, Selçuk University.
  • Öztürk N. 2014. Eggshell defects detection on white eggs using image processing techniques. Karadeniz Technical University, Institute of Science, Department of Electrical and Electronics Engineering, Master Thesis, Trabzon, Turkey.
  • Patel VC, McClendon RW, Goodrum JW. 1994a. Crack detection in eggs using computer vision and neural networks. Artif. Intell. Appl., 8: 21–31.
  • Patel VC, McClendon RW, Goodrum JW. 1994b. Detection of blood spots and dirt stains in eggs using computer vision and neural networks. Report No. 94-G-034., Proc. Int. Conf. Agric. Eng., Milan, Italy, 833–834.
  • Patel VC, McClendon RW, Goodrum JW. 1998. Development and evaluation of an expert system for egg sorting. Comput Electron Agric., 20 (1998): 97–116.
  • Priyadumkol J, Kittichaikarn C, Thainimit S. 2017. Crack detection on unwashed eggs using image processing. J. Food Eng., 209 (2017): 76-82.
  • Rauch HW, Buchenauer D, Hartung J, Hinrichs P. 2002. Experiences from various furnished cage models, 11th European Poultry Conference, Bremen, Germany.
  • Ribeiro A, Garcia-Alegre MC, Guinea D, Cristobal G. 2000. Automatic rules generation by G.A. for eggshell defect classification. Eur. Congr. Comput. Methods Appl. Sci. Eng., Barcelona, Spain.
  • Schneider B, Josephson J, Gensler G, Robinson N, Carney V. 2016. Supporting practice change on-farm: modifying hatching egg washing practices. 2016 Int. Poult. Sci. Cong., Atlanta, Georgia, USA.
  • Swayne DE, Bermudez AJ, Sagartz JE, Eaton KA, Monfort JD, Stoutenburg JW, Hayes JR. 1992. Association of cecal spirochetes with pasty vents and dirty eggshells in layers. Avian Diseases, 776-781.
  • Tauson R, Holm KE, Wall H. 2002. Experiences from various furnished cage models in Sweden. 11th European Poultry Conference, Bremen, Germany.
  • Van den Brand H, Sosef MP, Lourens A, Van Harn J. 2016. Effects of flor eggs on hatchability and later life performance in broiler chickens. Poult. Sci., 95: 1025-1032
APA Beyaz A, Özlü S, Gerdan Koc D (2020). Experimental Recognition System for Dirty Eggshell by Using Image Analysis Technique. , 1122 - 1126. 10.24925/turjaf.v8i5.1122-1126.3308
Chicago Beyaz Abdullah,Özlü Serdar,Gerdan Koc Dilara Experimental Recognition System for Dirty Eggshell by Using Image Analysis Technique. (2020): 1122 - 1126. 10.24925/turjaf.v8i5.1122-1126.3308
MLA Beyaz Abdullah,Özlü Serdar,Gerdan Koc Dilara Experimental Recognition System for Dirty Eggshell by Using Image Analysis Technique. , 2020, ss.1122 - 1126. 10.24925/turjaf.v8i5.1122-1126.3308
AMA Beyaz A,Özlü S,Gerdan Koc D Experimental Recognition System for Dirty Eggshell by Using Image Analysis Technique. . 2020; 1122 - 1126. 10.24925/turjaf.v8i5.1122-1126.3308
Vancouver Beyaz A,Özlü S,Gerdan Koc D Experimental Recognition System for Dirty Eggshell by Using Image Analysis Technique. . 2020; 1122 - 1126. 10.24925/turjaf.v8i5.1122-1126.3308
IEEE Beyaz A,Özlü S,Gerdan Koc D "Experimental Recognition System for Dirty Eggshell by Using Image Analysis Technique." , ss.1122 - 1126, 2020. 10.24925/turjaf.v8i5.1122-1126.3308
ISNAD Beyaz, Abdullah vd. "Experimental Recognition System for Dirty Eggshell by Using Image Analysis Technique". (2020), 1122-1126. https://doi.org/10.24925/turjaf.v8i5.1122-1126.3308
APA Beyaz A, Özlü S, Gerdan Koc D (2020). Experimental Recognition System for Dirty Eggshell by Using Image Analysis Technique. Türk Tarım - Gıda Bilim ve Teknoloji dergisi, 8(5), 1122 - 1126. 10.24925/turjaf.v8i5.1122-1126.3308
Chicago Beyaz Abdullah,Özlü Serdar,Gerdan Koc Dilara Experimental Recognition System for Dirty Eggshell by Using Image Analysis Technique. Türk Tarım - Gıda Bilim ve Teknoloji dergisi 8, no.5 (2020): 1122 - 1126. 10.24925/turjaf.v8i5.1122-1126.3308
MLA Beyaz Abdullah,Özlü Serdar,Gerdan Koc Dilara Experimental Recognition System for Dirty Eggshell by Using Image Analysis Technique. Türk Tarım - Gıda Bilim ve Teknoloji dergisi, vol.8, no.5, 2020, ss.1122 - 1126. 10.24925/turjaf.v8i5.1122-1126.3308
AMA Beyaz A,Özlü S,Gerdan Koc D Experimental Recognition System for Dirty Eggshell by Using Image Analysis Technique. Türk Tarım - Gıda Bilim ve Teknoloji dergisi. 2020; 8(5): 1122 - 1126. 10.24925/turjaf.v8i5.1122-1126.3308
Vancouver Beyaz A,Özlü S,Gerdan Koc D Experimental Recognition System for Dirty Eggshell by Using Image Analysis Technique. Türk Tarım - Gıda Bilim ve Teknoloji dergisi. 2020; 8(5): 1122 - 1126. 10.24925/turjaf.v8i5.1122-1126.3308
IEEE Beyaz A,Özlü S,Gerdan Koc D "Experimental Recognition System for Dirty Eggshell by Using Image Analysis Technique." Türk Tarım - Gıda Bilim ve Teknoloji dergisi, 8, ss.1122 - 1126, 2020. 10.24925/turjaf.v8i5.1122-1126.3308
ISNAD Beyaz, Abdullah vd. "Experimental Recognition System for Dirty Eggshell by Using Image Analysis Technique". Türk Tarım - Gıda Bilim ve Teknoloji dergisi 8/5 (2020), 1122-1126. https://doi.org/10.24925/turjaf.v8i5.1122-1126.3308