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http://dx.doi.org/10.9717/kmms.2020.24.2.215

Wild Animal Repellent System For Prevention of Crop Damage By Wild Boars  

Ha, Yeongseo (GwangJIn. Co., Ltd.)
Shim, Jaechang (Dept. of Computer Eng., Andong National University)
Publication Information
Journal of Korea Multimedia Society / v.24, no.2, 2021 , pp. 215-221 More about this Journal
Abstract
The agricultural is plagued by agricultural damage from wild boars every year. As a result, research on systems to repelling wild boars continues, and most of the systems are to detect objects with body temperature through sensors and then repelling them with actions such as light and sound. The problems of these system are operating regardless of wild boars and people, which can cause significant accident when using electric fence. In addition, If the same repelling action is repeated, wild boars can be adapted to that repelling action. As a solution to the two problems, Adaptation problem can be solved by random sounds and distinction problem can be solved by YOLO V4.
Keywords
Wild Animals; Wild Boars; Repellent; Real-Time; YOLO; Deep Learning; Pattern Recognition;
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