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.
Abstract-Radio coverage is a crucial component in any radio network design and deployment. In order to develop a design and deployment tool, we studied and utilized two different measurement approaches suitable for estimating indoor WiFi coverage. One of the tested approaches uses a handheld spectrum analyzer, while the other is a protocol-dependent method using standard Windows API calls. The applicability of these approaches is shown and the pros and cons of both measurement approaches are discussed based on visualization of the examples and comparison of the results. An analysis of the degree of dynamic radio channel effects for the observed differences between the two methods is also presented.
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