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유우와 육우용 웨어러블 디바이스를 이용한 사료섭취량 모니터링 및 신진대사이상 예측 시스템

Cow Residual Feed Intake(RFI) monitoring and metabolic abnormality prediction system using wearable device for Milk cow and Beef

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키워드

주제분류컴퓨터학

초록

본 논문에서는 소의 사료 취식량(Feed Intake), 반추(Rumination), 발정기(In Heat) 모니터링 기술을 이용하여, RFI(Residual Feed Intake) 모니터링 및 신진대상 이상을 예측하는 웨어러블 디바이스및 PC용 웹과 스마트폰 어플리케이션을 이용한 모니터링 시스템을 설계하고 구현하였다. 본 시스템의 개발로 농장주는 경제적 효율성의 증가가 기대된다. 사료 섭취량을 분석하면, 소의 체중에근거한 추천 사료량과 소가 섭취하는 사료량과의 차이를 확인할 수 있으며, Metabolic disorder(신진대사 이상)에 대한 조기 발견이 가능할 것으로 예상된다. 본 논문의 결과물을 사용하는 농장주는 가장 효율적인 성과를 나타내는 소를 구별할 수 있으며, 소의 표피(목)에 부착하는 웨어러블장치로부터 입력되는 6축 모션 센서 신호와 웨어러블 장치에 부착된 마이크를 통해 입력되는 소의 목넘김 소리를 통해서 소의 반추와 사료섭취량을 측정할 수 있다. 향후에는 심박, 호흡 등의추가적인 생체신호를 측정할 수 있도록 개선 작업을 진행할 예정이다.

Abstract

In this paper, by using the cattle feed intake, rumination, and in heat monitoring technology, RFI (Residual Feed Intake) monitoring and wearable devices and PCs for predicting abnormalities in budding target web and smart A monitoring system using a phone application was designed and implemented. With the development of this system, the farmer is expected to increase economic efficiency. By analyzing the feed intake, it is possible to identify the difference between the recommended feed amount based on the cow's weight and the feed amount consumed by the cow, and it is expected that early detection of metabolic disorders (abnormality of metabolism) is possible. Farmers using the results of this thesis can distinguish the cows with the most efficient performance, and the 6-axis motion sensor signals input from the wearable device attached to the cow's skin (neck) and the microphone attached to the wearable device. It is possible to measure the cow's rumination and feed intake through the sound of the cow's throat. In the future, improvements will be made to measure additional vital signs such as heart rate and respiration.

참고문헌 (11)

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  4. T. J. McDonald, "Professional Animal Scientist", 26(6), pp.655~660 (2010)
  5. M.V. Byskov, "Variations in automatically recorded rumination time as explained by variations in intake of dietary fractions and milk production, and between-cow variation", Journal of Dairy Science, 98(6), pp.3926~3937 (2015), American Dairy Science Association[DOI]
  6. Daniela N. Liboreiro, "Characterization of peripartum rumination and activity of cows diagnosed with metabolic and uterine diseases", Journal of Dairy Science, 98(10), pp.6812~6827 (2015), American Dairy Science Association[DOI]
  7. "Alberta province Agriculture and Forest", Agdex 420, 2006, pp.24~25
  8. T. J. McDonald, "Professional Animal Scientist", 655(660), pp.655~660 (2010)
  9. A. K. Kelly, "Effect of divergence in residual feed intake on feeding behavior, blood metabolic variables, and body composition traits in growing beef heifers1", Journal of Animal Science, 88(1), pp.109~123 (2010), Oxford University Press (OUP)[DOI]
  10. S. S. Moore, "Molecular basis for residual feed intake in beef cattle1", Journal of Animal Science, 87(suppl_14), pp.E41~E47 (2009), Oxford University Press (OUP)[DOI]
  11. N. Soriani, "Relationships between rumination time, metabolic conditions, and health status in dairy cows during the transition period1", Journal of Animal Science, 90(12), pp.4544~4554 (2012), Oxford University Press (OUP)[DOI]

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