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http://dx.doi.org/10.13067/JKIECS.2017.12.6.1159

Design and Implementation of Cattle Behavior Detection System based on Internet of Things  

Lee, Ha-Woon (Dept. of Electric Railway Convergence Science, Dongyang University)
Publication Information
The Journal of the Korea institute of electronic communication sciences / v.12, no.6, 2017 , pp. 1159-1166 More about this Journal
Abstract
Cattle behavior detection system based on Internet of Things is designed and implemented by using gyroscope and acceleration sensor, Arduino pro-mini and bluetooth module. The implemented system measures cattle's moving and the measured data are transmitted to smart phone by bluetooth module. They are displayed by 2-dimensional graph on the smart phone and the number of cattle's step are calculated from the graph. The detected and gathered data from the system are analyzed by the proposed algorithm to decide which cows are in the estrus or not, and the proposed system can be used to increase the success rate of artificial insemination in normal estrus by detecting cow's behaviors such as the number of steps and jumping. In this paper, the implemented cattle behavior detecting system are strapped on cattle's leg and it measures cattle behaviors for determining that a cattle is estrus or not by the proposed algorithm. In the future research, the system which lengthens communication distance and increases the number of cattle under the test will be considered and also the measured data will be database for cattle research.
Keywords
Internet of Things; Cattle Behavior; Gyroscope and Acceleration Sensor; Arduino Pro Mini;
Citations & Related Records
Times Cited By KSCI : 7  (Citation Analysis)
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1 S. Kim, J. Kim, and C. Kim "Implementation of data repeating system using solar charging and develop algorithm for data repeating in the pasture," J. of the Korea Academic-Industrial cooperation Society, vol. 17, no. 11, Nov. 2016, pp. 285-293.
2 D. Ryu, "Development of BLE Sensor Module based on Open Source for IoT Applications," J. of the Korea Institute of Electronic Communication Sciences, vol. 10, no. 3, 2015, pp. 419-424.   DOI
3 Y. Kim, S. Kim, H. Lho, and W. Cho, "Real time Step Count Detection Algorithm Using a Tri-Axial Accelerometer, J. of Internet Computing and Services, vol. 12, no. 3, June 2011, pp. 17-26.
4 D. Sin, J. Jeong, and S. Kang, "Internet of Things Trend and Vision," Review of Korean Society for Internet Information, vol. 14, no. 12, 2013, pp. 32-46.
5 J. Jeon, N. Kim, T. Park, H. Kang, and C. Pyo, "IoT device products and technology trends," J. of Internet Computing and Services, vol. 31, no. 4, 2014, pp. 44-52.
6 Xu Hao and C. Kim, "Design and Implementation of LED Lighting Control System Using Arduino Yun and Cloud in IOT," J. of the Korea Institute of Electronic Communication Sciences, vol. 11, no. 10, 2016, pp. 983-988.   DOI
7 P. Jeong and Y. Cho, "Fall Detection System based Internet of Things," J. of the Korea Institute of Information and Communication Engineering, vol. 19, no. 11, Nov. 2015, pp. 2546-2553.   DOI
8 J. Kim, "A Smart Home Prototype Implementation Using Raspberry Pi," J. of the Korea Institute of Electronic Communication Sciences, vol. 10, no. 10, Oct. 2015, pp. 1139-1144.   DOI
9 Xu Hao and C. Kim, "Design and Implementation of a Smart Home Cloud Control System Using Bridge based on IoT," J. of the Korea Institute of Electronic Communication Sciences, vol. 12, no. 5, Oct. 2017, pp. 865-872.   DOI
10 S. Kim, S. Jee, H. Cho, C. Kim, and H. Kim, "Implementation of unmanned cow estrus detection system for improving impregnation rate," J. of the Korea Academic-Industrial Cooperation Society, vol. 16, no. 9, Sept. 2015, pp. 6236-6246.   DOI