젖소 사양기술의 자동화를 위한 연구 II. 체온 측정 방법을 통한 질병자동 진단 시스템

Studies on Automatization of Dairy Cattle Farming II. Automatic System for Detection of Diseased Cattle by Taking Body Temperature

  • 김용준 (전북대학교 수의과대학) ;
  • 유일정 (전북대학교 수의과대학) ;
  • 정길도 (전북대학교 전기전자제어공학부) ;
  • 한병성 (전북대학교 전기전자제어공학부) ;
  • 김동원 (전북대학교 산업공학과) ;
  • 김명순 (우석대학교 생물학과)
  • 발행 : 1998.06.01

초록

These studies were performed to find out the possibility of automatic detection of the diseased animal with fever by farmers themselves. Firstly, the body temperature of 331 dairy cows was investigated according to major disease symptoms manifested. Secondly, AD 590 thermometer was used to take the teat temperature of the milking cows to determine the possibility of automatic taking of body temperature while milking. The temperatures of scapha of ear and coccygeal artery part were also taken fur the non-milking dairy cows and Korean native cowl 1. The average body temperature of dairy cows associated with respiratory diseases puerperal disease, or mastitis was higher than normal temperature denoting respectively 39.8,39.6, and $39.3{\circ}C.2.$ The teat temperaure of the milking dairy cows with fever($39.5~39.6{\circ}C$) and the cows with mastitis was respectively 1.02 and 0.56${\circ}C$ higher than that of normal cows. 3. The average teat temperature taken by AD 590 was 33.91, 34.93, and 34.50${\circ}C$ in normal milking dairy cows, cows with fever(39.5~39.6${\circ}C$), and cows with mastitis, respectively. 4. The mean temperatures at scapha and coccygeal part of non-milking dairy cows and Korean native cows were 35.62 and 36.63${\circ}C$, respectively. It was concluded that AD 590 thermometer would be usable for the farmers to automatirally detect the body temperature of dairy cows while milking and subsquently to find the diseased cow with fever and that the scapha of ear and coccygeal artery part of the cattle could be the body parts of simply detecting body temperature of non-milking cattle.

키워드

참고문헌

  1. Proceedings of Agro-Martin 1, ASAE An Intergrated System for Automatic Data Collection and Analysis on Dairy Farms Spahr SI Puckett;Dill DE
  2. Proceedings of the Agro-Martin 2, ASAE A Review of Remote Sensing Techniques of Dairy Cattle Wheeler PA;Graham KL
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