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Recognition of Individual Holstein Cattle by Imaging Body Patterns

Kim, Hyeon T.    (Division of Environmental Science and Technology, Graduate School of Agriculture Kyoto University   ); Choi, Hong L.    (School of Agricultural Biotechnology, CALS, Seoul National University   ); Lee, Dae W.    (Department of BioMechatronics, SungKyunKwan University   ); Yoon, Yong C.    (Division of Agricultural Systems Engineering, Gyeongsang National University  );
  • 초록

    A computer vision system was designed and validated to recognize an individual Holstein cattle by processing images of their body patterns. This system involves image capture, image pre-processing, algorithm processing, and an artificial neural network recognition algorithm. Optimum management of individuals is one of the most important factors in keeping cattle healthy and productive. In this study, an image-processing system was used to recognize individual Holstein cattle by identifying the body-pattern images captured by a charge-coupled device (CCD). A recognition system was developed and applied to acquire images of 49 cattles. The pixel values of the body images were transformed into input data comprising binary signals for the neural network. Images of the 49 cattle were analyzed to learn input layer elements, and ten cattles were used to verify the output layer elements in the neural network by using an individual recognition program. The system proved to be reliable for the individual recognition of cattles in natural light.


  • 주제어

    Computer Vision .   Individual Recognition .   Holstein Cattle .   Body Pattern .   Neural Network.  

  • 참고문헌 (9)

    1. Hoshiba, H., U. Kazutaka and T. Hidehiko. 1998. Comparison of periodic and continuous milking operations using an automatic milking system. Journal of the Japanese Society of Agricultural Machinery 60(1):107-114. 
    2. Geers, R., B. Puers, V. Goedseels and P. Wouters. 1997. Electronic identification, monitoring and tracking of animals. CAB International, Wallingford. 
    3. Kiyanzad, M. R. 2004. Using linear body measurements of live sheep to predict carcass characteristics for two Iranian fattailed sheep breeds. Asian-Aust. J. Anim. Sci. 17(5):693-699. 
    4. Han, B. S., K. T. Chong, M. H. Choi, Y. J. Kim and B. W. Kang. 1996. Development of electronic identification system of individual dairy cattle for stockbreeding automatization. Kor. J. Vet. Clin. Med. 13(2):171-175. 
    5. Kim, H. T., Y. Ikeda and H. L. Choi. 2005. The identification of Japanese black cattle by their faces. Asian-Aust. J. Anim. Sci. 18(6):868-872. 
    6. Klindtworth, M. 1998. Untersuchung zur automatisierten Identifizierung von Rindern bei der Qualit$\"{a}$tsfleischerzeugung mit Hilfe injizierbarer Transponder. Dissertation, Forschungsbericht Agrartechnik des Arbeitskreises Forschung und Lehre der Max-Eyth-Gesellschaft Agrartechnik im VDI (VDI-MEG) 319. 
    7. Hoshiba, H., K. Umetsu and H. Takahata. 1996. Milking performance of auto-milking systems. Journal of the Japanese Society of Agricultural Machinery 58(1):105-114. 
    8. Lee, D. W., W. Kim and H. T. Kim. 2001. A robotic milking manipulator for teat-cup attachment modules. Journal of the Korean Society for Agricultural Machinery 26(2):163-168. 
    9. Miller, B. K. and M. J. Delwiche. 1989. A color vision system for peach grading. Trans. ASAE 32(4):1484-1490. 

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