Unmanned Farm utilizes Virtual Fence Technology for Animal Tracking
Jung Kyu Park1, Eun Young Park2, Jaeho Kim3

1Jung Kyu Park, Dept. of Computer Software Engineering, Changshin University, Changwon-si, Korea.
2Eun Young Park, Department of Biomedical Laboratory Science, Shinhan University, Uijeongbu-si, Korea.
3Jaeho Kim, Department of Electrical and Computer Engineering, Virginia Tech, VA, USA.
Manuscript received on November 26, 2019. | Revised Manuscript received on December 15, 2019. | Manuscript published on December 30, 2019. | PP: 1328-1330 | Volume-9 Issue-2, December, 2019. | Retrieval Number:  B2333129219/2020©BEIESP | DOI: 10.35940/ijeat.B2333.129219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: In order to graze animals on farms in large areas, fences must be installed. For this reason, installation and maintenance costs are high. To solve this problem and to manage animals efficiently, we want to use virtual fences based on IoT system. A virtual fence is not about installing a physically contiguous fence but using the least IoT device to get the effect of the existing fence. As described above, since the virtual fence is not an invisible and continuous object, it can be formed in various shapes other than a rectangular shape. Virtual fences can be implemented using a variety of sensors and embedded systems currently available in the marketplace. This can reduce the cost of installing and maintaining an existing fence and provide additional benefits such as tracking the health of the animal and movement tracking. In this paper, we propose a virtual fence algorithm. The proposed algorithm can propose an animal’s range of motion and take action according to specified rules. The simulation results show that the proposed algorithm can manage the animals in the virtual fence well.
Keywords: Animal tracking, GPS, IoT, Virtual fence.