• Title/Summary/Keyword: 가축 체온

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Estimation of Body Core Temperature of Cow using Neck Sensor based on Machine Learning (목부착형 센서를 이용한 기계학습 기반 소 심부체온 예측방안)

  • Lee, Woongsup;Ryu, Jongyeol;Ban, Tae-Won;Kim, Seong Hwan;Kang, Sang Kee;Ham, Young Hwa;Lee, Hyun June
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.22 no.12
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    • pp.1611-1617
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    • 2018
  • The body temperature of livestock is directly related to the health of livestock such that it changes immediately when there exists health problem. Accordingly, the monitoring of livestock's temperature is one of most important tasks in farm management. However, the temperature of livestock is usually measured using skin-attached sensor which is significantly affected by the outside temperature and the condition of attachment which results in the inaccurate measurement of temperature. Herein we have proposed new scheme which estimates the body core temperature of cow based on measured data from neck-attached smart sensor. Especially, we have considered both schemes which estimate the exact temperature and which detect the unusually high temperature based on machine learning. We have found that the occurrence of high temperature can be detected accurately. The proposed scheme can be used in monitoring of health condition of cow and improving the efficiency of farm management.

The temperature measurement at external auditory meatus using Infrared sensor in cattle (적외선 센서를 이용한 소 귀에서의 체온 측정)

  • Kim, Sheen-Ja;Lee, Young-Woo
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2008.05a
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    • pp.401-404
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    • 2008
  • In livestock, diagnosis of disease is found on body temperature variation like a human. In case of cattle, body temperature variation can estimate disease that milk fever, toxication, diarrhea, dyspepsia, chronic enteritis, influenza, pneumonia, anthrax. So we are suggested the temperature measurement system for livestock. This system will be useful to a stock farmer and alternative that a worker.

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Design and Implementation of Livestock Disease Forecasting System (가축 질병 예찰 시스템 설계 및 구현)

  • Kim, Hyun-Gi;Yang, Cheol-Ju;Yoe, Hyun
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.37C no.12
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    • pp.1263-1270
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    • 2012
  • Livestock disease that decreases the farm productivity and income leads to not only financial loss but also national loss from the spread of contagious disease. The purpose of this paper is to propose a livestock disease forecasting system that can diagnose disease of livestock at an early stage based on the livestock activity and body temperature. The proposed livestock disease forecasting system collect data on livestock activity and body temperature using a acceleration sensor and thermal imaging camera and comparing the data with control according to disease. It is expected that, this system can be accurately identify and prevent spread of livestock disease beforehand to minimize damages caused by disease to improve the productivity and the rate of return of livestock farms.

Development of IoT-based Mobile Application for Livestock Healthcare and Breeding Management in real time (IoT 기반의 실시간 가축 건강 및 번식 관리를 위한 모바일 어플리케이션 개발)

  • Kim, Heejin;Oh, Seeun;Ahn, Sehyeok;Choi, Byoungju
    • Journal of Software Engineering Society
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    • v.27 no.1
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    • pp.15-17
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    • 2018
  • Fast response to livestock disease and raising the reproductive success rate contribute to the improvement of farm productivity and profit margins. Due to the decrease in farm workforce and aging population, efficient livestock healthcare and breeding management are needed. In this study, we developed a mobile application for livestock healthcare and breeding management based on the collected body temperature data by IoT sensors. In case of livestock health problem, users are notified immediately via a mobile application warning message. It also provides users with a livestock breeding date function, allowing them to respond without missing the breeding season.

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A Design of Wireless Sensor Network for Context Awareness of Livestock (가축 상황인식을 위한 무선센서 네트워크 설계)

  • Kim, Nak-Hyeon;Jung, Yeon-Seung;Park, Ung-Gyu;Son, Bong-Ki;Lee, Jae-Ho;Song, Je-Min;Lee, Jae-Kwon
    • Proceedings of the Korea Information Processing Society Conference
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    • 2015.10a
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    • pp.460-463
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    • 2015
  • 이 논문에서는 질병, 발정, 분만, 스트레스 등 이상상황에서의 가축 행동 및 생체 특성을 분석하고, 상황인식을 위한 무선센서 네트워크를 제안한다. 제안한 시스템에서는 다양한 센서를 이용하여 가축 운동량, 위치, 충격량, 고도, 가속도 체온 정보를 수집하여, 활동량, 군집도, 승가여부, 체온 등의 특성 정보로 가공되어 상황인식에 활용한다. 무선센서 네트워크는 전류소모량이 많은 축사환경정보 수집센서는 유선 통신으로 구현하고, 가축 행동 및 생체정보 센서는 저전력 통신이 가능하도록 설계하여 목걸이형 기구물 교체주기를 최대화하였다. 또한, 제안한 무선센서 네트워크는 가축의 이상상황 인식에 필요한 다양한 정보를 수집할 수 있어, 효율적인 가축관리를 통한 생산성 향상에 기여할 수 있을 것으로 기대된다.

Design of Implantable Wireless Sensor Node to Monitor the Livestock Body Temperature (가축의 실시간 체온 측정을 위한 이식형 무선 센서 노드 설계)

  • Kim, Hyun-Joong;Yang, Hyun-Ho
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2009.10a
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    • pp.585-588
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    • 2009
  • Wireless Sensor Network (WSN) is consisted of lots of tiny sensor nodes with limited processing power and computing resources. Thus, the most critical and fundamental element of WSN technology is sensor node, which gathers environmental information and transmits it to the user application systems. Due to the technological advancement, sensor nodes are become smaller and more intelligent, hence, expand their application area. Specifically, implantable wireless sensor node technology, to monitor and treat disease by implanting tiny sensor nodes into human body or livestock, shows further directions of WSN. In this paper, we have designed an implantable wireless sensor node to monitor livestock body temperature in real time. We also discussed on the additional considerations to implement real time bio-monitoring systems.

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Telemedicine System for Korean Beef Cattle Converging Livestock Farming Practices & ICT (축산분야와 ICT 융합을 통한 한우 원격진료방안)

  • Koo, Jee-Hee;Lee, Sang-Rak
    • Journal of Digital Convergence
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    • v.14 no.12
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    • pp.217-224
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    • 2016
  • As livestock diseases such as foot-and-mouth disease are highly infectious and likely to inflict nationwide damage, it is important to detect such diseases in advance. Infection of foot-and-mouth disease is determined in the field through examination of external symptoms such as rise in body temperature. However, as the disease is carried around initially by travelling veterinarians in some cases, it is critical to measure the body temperature of livestock to detect abnormal temperature pattern early on and transmit temperature reading data remotely to a veterinarian remotely to expedite decision. In this study, we have developed a telemedicine system designed to connect veterinarians and livestock farmers and measure the body temperature of Korean beef cattle with IR sensor module linked to ubiquitous ICT platform as a solution for controlling health conditions of Korean beef cattle and improving the efficiency of livestock farming operations at individual farm, regional, and national level by converging ubiquitous ICT platform and livestock farming practices. Successfully employing the state-of-the-art IT technologies of Korea, the system proposed herein is expected to make Korea's livestock farming industry more sustainable and help the nation to secure technological preeminence in the global livestock products market.

기획특집 - 구제역이란?

  • 국립수의과학검역원
    • KAPE Magazine
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    • s.161
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    • pp.4-5
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    • 2010
  • 소, 돼지, 양, 염소, 사슴 등 발굽이 둘로 갈라진 동물인 우제류에 감염되는 질병으로 전염성이 매우 강하며 입술, 혀, 잇몸, 코, 발굽 사이 등에 수포가 생기며 체온이 급격히 상승되고 식욕이 저하되어 심하게 앓거나 죽게 되는 질병으로 국제수역사무국(OIE)에서 전파력이 빠르고 국제교역상 경제피해가 매우 큰 질병인 A급 질병으로 분류하며 우리나라 제1종 가축전염병으로 지정되어 있다.

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국내에서 발생된 구제역의 임상증상에 대한 고찰

  • Park, Jong-Hyeon
    • Journal of the korean veterinary medical association
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    • v.48 no.8
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    • pp.470-472
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    • 2012
  • 구제역은 구제역 바이러스의 감염에 의한 우제류 동물의 악성전염병으로서 입, 혀, 발굽 및 유두 등에 물집(수포)이 생기고, 체온의 상승과 식욕저하가 수반되는 것이 특징으로서 세계동물보건기구(OIE) 지정 가축전염병 및 가축전염병예방법상 제1종 가축전염병에 속한다. 전파속도가 매우 빨라 한 번 발생하면 근절이 쉽지 않다. 소, 돼지, 양 및 염소가 주요 감수성 동물이다. 한 동물이 감염되었을 때, 이환율이 높아 대부분의 같은 집단에 있는 모든 동물은 감염될 수 있다. 임상증상 관찰은 구제역 방역의 성패를 좌우할 정도로 매우 중요하다. 증상을 초기에 발견했다하더라도 증상이 보이기 3-4일 전부터 동물로부터 바이러스가 배출되므로 주변에 퍼져 있을 가능성이 크기 때문이다. 이 글에서는 구제역 재발방지를 위해 구제역에 대한 동물별의 전형적인 증상 특징을 알아보고, 우리나라에서 발생되었던 구제역의 임상증상을 특징을 고찰하고자 하였다.

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Establishment of Data Base for Body Temperature Change in Cattle (소의 일중 체온변화 Data Base 구축에 관한 연구)

  • Jeong, Wang-Yong;Yi, One-Hyeon;Lee, Sang-Cheol;Lee, Sang-Rak
    • Journal of Animal Environmental Science
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    • v.18 no.2
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    • pp.95-98
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    • 2012
  • A normal body temperature data base for cattle was established to utilize for automatic monitoring of abnormal body condition of cattle by using sensor network and radio frequency identification technology. Three castrated Holstein cattle (mean body weight: $318{\pm}12kg$) were employed for body temperature measurement. Animals were adapted at the stanchion barn over 2 weeks, and 4 places (skins of ear, neck, head and subcutaneous tissue of neck) of body temperatures were continuously measured through thermocouples and recorder devices for 9 days. All places of body temperatures were fluctuated throughout the day and showed a cyclic pattern, with higher temperature in day time and lower temperature in nigh time. Normal subcutaneous tissue temperature (core temperature) in a day was ranged from $36.1^{\circ}C$ to $38.2^{\circ}C$. Skin temperatures were varied largely with environmental temperature change. Ear, head and neck temperatures varied with $36.3{\sim}28.5^{\circ}C$, $36.1{\sim}28.0^{\circ}C$ and $35.0{\sim}28.2^{\circ}C$, respectively. In this study, we established a basic data base for normal body temperature in cattle. For more effective data base, it would be needed further study.