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http://dx.doi.org/10.6109/jkiice.2018.22.12.1611

Estimation of Body Core Temperature of Cow using Neck Sensor based on Machine Learning  

Lee, Woongsup (Department of Information and Communication Engineering, Gyeongsang National University)
Ryu, Jongyeol (Department of Information and Communication Engineering, Gyeongsang National University)
Ban, Tae-Won (Department of Information and Communication Engineering, Gyeongsang National University)
Kim, Seong Hwan (Department of Information and Communication Engineering, Gyeongsang National University)
Kang, Sang Kee (Graduate School of International Agricultural Technology, Seoul National University)
Ham, Young Hwa (Agrirobotec Corporation)
Lee, Hyun June (Institute of Green Bio Science & Technology, Seoul National University)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.22, no.12, 2018 , pp. 1611-1617 More about this Journal
Abstract
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.
Keywords
Neck sensor; machine learning; internal temperature; cattle;
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Times Cited By KSCI : 3  (Citation Analysis)
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