A sensor-fusion-system for tracking sheep location and behaviour

Keni Ren, Johannes Karlsson, Markus Liuska, Markku Hartikainen, Inger Hansen and Grete HM Jørgensen

International Journal of Distributed Sensor Networks, 2020, vol. 16, issue 5, 1550147720921776

Abstract: 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.

Keywords: Precision farming; behaviour detection; UWB positioning and tracking; depth camera; infrared camera; computer vision (search for similar items in EconPapers)
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:sae:intdis:v:16:y:2020:i:5:p:1550147720921776

DOI: 10.1177/1550147720921776

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