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  • 标题:MONITORING AND CONTROLLING BEHAVIORS OF LIVESTOCK USING VIRTUAL FENCES
  • 本地全文:下载
  • 作者:AZAMJON MUMINOV ; DAEYOUNG NA ; CHEOL WON LEE
  • 期刊名称:Journal of Theoretical and Applied Information Technology
  • 印刷版ISSN:1992-8645
  • 电子版ISSN:1817-3195
  • 出版年度:2019
  • 卷号:97
  • 期号:18
  • 页码:4909-4920
  • 出版社:Journal of Theoretical and Applied
  • 摘要:This paper describes our virtual fence system. The present invention is a method of controlling animals without visible physical fences and monitoring their condition. Control occurs through affecting to animals by using one or more signals and electric shocks when they attempt a restricted zone as well as to observe the condition, one of the best machine learning classifications named Support Vector Machines (SVM) is used. A virtual fence boundary can be any geometrical shape. A smart collar worn goats can be detected by using a virtual fence application. Each smart collar consists of an XBee communication module, a global positioning system (GPS), an electrical shocker, and an mp3 player. Stimuli and classification results presented from on-farm experiments with a goat equipped with a smart collar.
  • 关键词:Virtual Fence; Smart Collar; Livestock; Machine Learning; IoT; SVM
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