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Abnormal Identification of Swine Flu Clinical Characteristics Based on Body Temperature and Behavior

Abstract : The pathology and virus isolation are the mainly diagnostic approaches for swine flu currently. Although the diagnosis rate is high, it is not conducive to detecting and intervening the infected pigs timely because of the serious time delay. Therefore, this paper proposed a novel framework method for the early detection and warned of swine influenza. The Jilin landrace are as the subjects of the experiment in this paper. Firstly, the body temperature changes were monitored compared between healthy and infected pigs respectively. And then the machine vision method was used to identify the basic pre-defined behavior of the landrace. Afterward, the behavior of the healthy and infected pigs were determined the abnormality or not. In the experiments, the results showed that the temperature of the infected pigs increased from 1–2 h to 40.3–41.5 ℃ and the lying status of the sick pigs was significantly increased compared to other activities such as feeding and drinking water. The experimental results showed that this method was effective for early detection of swine flu.
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Duo Wang, Ying Xu, Qifeng Liu, Yue Lou, Chaorong Luo, et al.. Abnormal Identification of Swine Flu Clinical Characteristics Based on Body Temperature and Behavior. 11th International Conference on Computer and Computing Technologies in Agriculture (CCTA), Aug 2017, Jilin, China. pp.404-415, ⟨10.1007/978-3-030-06137-1_37⟩. ⟨hal-02124238⟩



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