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  • 标题:A sensor-fusion-system for tracking sheep location and behaviour
  • 本地全文:下载
  • 作者:Keni Ren ; Johannes Karlsson ; Markus Liuska
  • 期刊名称:International Journal of Distributed Sensor Networks
  • 印刷版ISSN:1550-1329
  • 电子版ISSN:1550-1477
  • 出版年度:2020
  • 卷号:16
  • 期号:5
  • 页码:1
  • DOI:10.1177/1550147720921776
  • 出版社:Hindawi Publishing Corporation
  • 摘要:The growing interest in precision livestock farming is prompted by a desire to understand the basic behavioural needs of the animals and optimize the contribution of each animal. The aim of this study was to develop a system that automatically generated individual animal behaviour and localization data in sheep. A sensor-fusion-system tracking individual sheep position and detecting sheep standing/lying behaviour was proposed. The mean error and standard deviation of sheep position performed by the ultra-wideband location system was 0.357 ± 0.254 m, and the sensitivity of the sheep standing and lying detection performed by infrared radiation cameras and three-dimenional computer vision technology were 98.16% and 100%, respectively. The proposed system was able to generate individual animal activity reports and the real-time detection was achieved. The system can increase the convenience for animal behaviour studies and monitoring of animal welfare in the production environment.
  • 关键词:Precision farming; behaviour detection; UWB positioning and tracking; depth camera; infrared camera; computer vision
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