A sensor-fusion-system for tracking sheep location and behaviour
Author(s) -
Ren Keni,
Karlsson Johannes,
Liuska Markus,
Hartikainen Markku,
Hansen Inger,
Jørgensen Grete HM
Publication year - 2020
Publication title -
international journal of distributed sensor networks
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.324
H-Index - 53
eISSN - 1550-1477
pISSN - 1550-1329
DOI - 10.1177/1550147720921776
Subject(s) - computer science , tracking system , computer vision , position (finance) , lying , tracking (education) , artificial intelligence , sensitivity (control systems) , livestock , animal welfare , real time computing , business , biology , medicine , psychology , ecology , pedagogy , filter (signal processing) , finance , electronic engineering , engineering , radiology
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.
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