Wang Chenyang, Hu Bingyan, Li Yuqing, Kou Zongyun, Li Aiyun, Li Qian, Pang Weijun. Identification of the typical physiological state of sows by non-contact temperature measurement[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2022, 38(20): 149-155. DOI: 10.11975/j.issn.1002-6819.2022.20.017
    Citation: Wang Chenyang, Hu Bingyan, Li Yuqing, Kou Zongyun, Li Aiyun, Li Qian, Pang Weijun. Identification of the typical physiological state of sows by non-contact temperature measurement[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2022, 38(20): 149-155. DOI: 10.11975/j.issn.1002-6819.2022.20.017

    Identification of the typical physiological state of sows by non-contact temperature measurement

    • Abstract: Body temperature is a key physiological indicator to monitor the disease and estrus in pigs. The estrus status of sows can be identified to assess the health status by the rectal temperature with a thermometer in the large-scale pig farms at present. However, traditional manual identification and temperature measurement cannot fully meet the high demand of large-scale production, particularly with the increase in labor costs under the harsh epidemic prevention and control level. Fortunately, infrared thermography can be expected to monitor the body temperature of sows for the identification of sows in estrus. It is obviously different in the body temperature of sows in estrus and interestrus. Specifically, the body temperature in estrus is significantly higher than that in interestrus. In this study, the non-contact temperature measurement was proposed to identify the typical physiological state of sows. A Y3TB01 smart camera was first used for body temperature screening. An infrared thermography camera C3 was then utilized to capture the infrared images of sows in real time. An image analysis software was finally selected to obtain the body surface temperature after the non-contact temperature measurement. A total of 720 primiparous and farrowing sows were used as the study objects in this case. The body surface and rectal temperatures were measured during the nulliparous period, estrus, 1-8, and 9-16 d of gestation. The body surface temperature of the sows was measured using infrared thermography equipment, ranging from the eyes, ears, cochlea, udder, vulva, and rump. An electronic thermometer was utilized to measure the temperature of the rectal area. A correlation analysis was then performed between the body surface and rectal temperature, in order to screen the key sites of estrus and return to estrus temperature in the sows of different litters. The results showed that better performance was achieved in the Y3TB01 smart camera of body temperature screening (correlation coefficient of 0.973), compared with the rectal temperature measurement. The body surface temperature of sows was also accurately monitored in real time. The infrared thermal camera C3 was used to detect the abnormal body surface temperature of sows. The different sites of the sows were determined in estrus and returned to estrus by infrared equipment and thermometer. The accuracy rates of the vulva measurement site were 88% and 81% in estrus and returning to estrus, respectively, whereas, those were only 77% and 72% in the rump measurement site, respectively. Overall, the combination of the Y3TB01 smart camera of body temperature screening and infrared thermal camera C3 accurately and rapidly monitored the body temperature of sows in real time. The Internet of Things was then integrated to transmit the data into the cell phone or computer terminal. The warning alarm of the abnormal body temperature was realized to monitor the health condition of pigs. In addition, the temperature distribution was obtained at the body surface sites of sows in different litters and periods. The finding can provide a scientific basis for the non-contact identification of sows in estrus and return to estrus, particularly for the intelligent feeding management and epidemic prevention and control of sows in large-scale pig farms.
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