期刊
BIOSYSTEMS ENGINEERING
卷 206, 期 -, 页码 123-134出版社
ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.biosystemseng.2021.03.018
关键词
Animal behaviour; Hausdorff distance; Comfort index; Precision livestock farming; Image analysis
资金
- Brazilian National Council for Scientific and Technological DevelopmentCNPq [PQ-II 315228/20202, DT-II 307933/20164]
This study developed an Unrest Index based on poultry birds' behavior to assess their thermal comfort under different air temperature conditions. The index was efficient in detecting poultry birds' agitation in various thermal conditions, showing that birds moved significantly less in conditions above thermoneutrality. The distribution of the Unrest Index data was asymmetric across different thermal conditions, but there was a tendency to reverse this asymmetry in conditions of thermal comfort and heat stress.
Behaviour can be used to infer animal welfare states. Poultry birds tend to move less under conditions of thermal stress; hence the hypothesis of this research is that this unrest behaviour can be used as an indicator of thermal comfort. The objective was to develop an Unrest Index for poultry bird's sensitive to changes in this behaviour under different air temperature conditions. The proposed Unrest Index was based on the Hausdorff distance measure and was tested on recorded videos of laying hens and broilers breeders, obtained in different experiments. The index was efficient in detecting the unrest of poultry birds in different thermal conditions and, in conditions above thermoneutrality, the birds moved significantly less. The distribution Unrest Index of data for each thermal condition tested was shown to be asymmetric. However, there seems to be a tendency to reverse this asymmetry when the conditions are thermal comfort and heat stress. It is suggested that the Unrest Index can be used to estimate the thermal comfort of poultry birds and that further studies on the asymmetry of the index data should be carried out in order to identify of the thermoneutrality zone of birds in a non-invasive way. The Unrest Index and the computer vision techniques adopted to assess poultry thermal comfort automatically were efficient in demonstrating differences in bird agitation in distinct thermal stress conditions. The low computational effort and the mathematical simplicity of the model allows the Unrest Index to incorporate bird surveillance systems and estimate thermal comfort automatically. (c) 2021 IAgrE. Published by Elsevier Ltd. All rights reserved.
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