Journal of Animal Environmental Science (한국축산시설환경학회지)

The Korean Society of Animal Environmental Science & Technology (한국축산환경학회)
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Development of an Electronic Identification Unit for Automatic Dairy Farm Management

가축 사양 관리 자동화를 위한 전자 개체 인식 장치 개발

  • Cho, S.I. (Seoul National University College of Biological Resource and Materials Engineering) ;
  • Ryu, K.H. (Seoul National University College of Biological Resource and Materials Engineering) ;
  • An, K.J. (Seoul National University College of Biological Resource and Materials Engineering) ;
  • Kim, Y.Y. (Seoul National University College of Biological Resource and Materials Engineering) ;
  • You, G.Y. (Seoul National University College of Biological Resource and Materials Engineering)
  • 조성인 (서울대학교 생물자원공학부) ;
  • 류관희 (서울대학교 생물자원공학부) ;
  • 안광재 (서울대학교 생물자원공학부) ;
  • 김유용 (서울대학교 생물자원공학부) ;
  • 유윤관 (서울대학교 생물자원공학부)
  • Published : 2002.08.30
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Abstract

In Korea, a need of automatic dairy farm management system has been increased to lower production cost and to strengthen international competition. However, the present management system was mostly relied on foreign technologies and caused some problems in post management and after-sales services. Therefore, though there is a problem of price and quality at present, domestic technologies of the management system should be developed for the long run. This study was conducted to develop an electronic identification unit for an automatic dairy farm management system. The developed system was consisted of a tag, a reader, a switching circuit, and a personal computer. The tag attachable to each individual cow was developed to transmit individual radio frequency(RF) code into the air with modulation of ASK(amplitude shift keying). And the switching circuit was added to avoid confusion on reception and transmittance. The reader attached to a feeding device was developed to transmit activating signal periodically and to identify code of the individual tag when the tag was approached to the device. The reader was consisted of an active filter, a detecter, a comparator and a microcontroller. The test result was feasible enough to apply it for the automatic farm management system and the identified maximum distance was about 37cm.

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