Studies on Automatization of Dairy Cattle Farming 1. Development of Automatic System for Diagnosis of Pregnancy and Diseases

젖소 사양기술의 자동화를 위한 연구 1. 임신유지 여부 및 질병자동진단 시스템개발

  • 김용준 (전북대학교 수의과대학) ;
  • 유일정 (전북대학교 수의과대학) ;
  • 정길도 (전북대학교 전기전자제어공학부) ;
  • 한병성 (전북대학교 전기전자제어공학부) ;
  • 김동원 (전북대학교 산업공학과) ;
  • 김명순 (우석대학교 생물학과)
  • Published : 1997.06.01

Abstract

These studies were performed to provide some basic informations for developing an automatic system in dairy farming cattle in order that the farmers may easily and automatically detect the maintenance of pregnancy and the fact of abortion of the pregnant cows and also to find out the diseased animals with fever. As a method of automatical detection of the maintenance of pregnancy or the fact of abortion, weighing the pregnant cows was conducted from one month-pregnancy to the term using a digital balance. From the first to the 3rd month of pregnancy the body weight of dairy cows was slowly increased (less than 2% per month), then, relatively high increase (3.4% -4.3% per month) from the fourth to the seventh month followed by decrease (3.3%) in the 8th month and very low increase (0.8-0.9%) from the 9th month to the term were shown, resulting in increase of 128.8 kg (25.05%) of body weight to be compared with the first weight. More than 107, increase of body weight to be compared with the first month-weight was denoted from the 61th month of pregnancy and more than 20% increase from the 7th or the 8th month of pregnancy as wells consequently it was presumed that detection of the maintenance of pregnancy is possible from the 4th or the 5th month of pregnancy. It was possible to diagnose a cow aborted at the 6th month by continual weighing the cow from the 1st month of pregnancy. The calved cows showed considerably higher decrease of body weight even in the third week after parturition (p<0.01)to be compared with the body weight near to the term (81.8-102.0 kg, 14-16% decrease). During the same period of 8months, the pregnant cows gained 127.4 kg (24.78% increase), whereas the non-pregnant cows gained 33.0 kg (0.71% increase) to be compared with the first weight showing considerably higher increase of body weight gain in the pregnant cows than the non-pregnant cows (p<0.01). The statistics of body temperatures of dairy cattle were collected from three clinics including the Teaching Hospital of Chonbuk University and the diseases were classified simply by the major symptoms manifested, denoting the highest temperature in respiratory disease ($39.8{\circ}C$) and the lowest in alimentary disease ($39.6{\circ} C$). These informations of body temperatures were expected to be of value for early and automatical detection of the diseased animals with fever when automatic machinery would be established. The results of periodic weighing the body weight of pregnant cows while milking were also expected to be of great use for the farmers to detect the maintenance of pregnancy and the fact of abortion when the automatic system is established in the near future.

Keywords

References

  1. Veterinary obstetrics and genital diseases (Theriogenology)(3rd ed) Roberts SJ
  2. Proceedings of the Agro-Martin 1 An Integrated System for Automatic Data Collection and Analysis on Dairy Farms Spahr SI;Puckett;Dill DE
  3. Proceedings of the Agro-Martin 2 A Review of Remote Sensing Techniques of Dairy Cattle Wheeler PA;Graham KL
  4. 한국임상수의학회지 v.13 no.2 젖소의 자동체온 측정시스템개발 김형주;정길도;김용준;한병성;김명순
  5. SIEMSTA(농수축산박람회) 심포지엄 국제화 시대의 농업기계화 현황과 발전 방향 박원규
  6. 한국농업기계학회지 v.16 no.6 축산 자동화를 위한 가축의 생체 정보 무선 계측 장치의 개발(Ⅱ) 이승규;민영봉;김태규
  7. SIEMSTA(농수축산박람회) 심포지엄 축산 기계화 현황과 발전 방향 장동일
  8. 중정 수의산과학 조충호;강병규;치상용;황우석;김용준
  9. 한국임상수의학회지 v.13 no.2 젖소의 사양관리 자동화를 위한 전자개체 인식장치 개발 한병성;정길도;최명호;김용준;김명순;강복원