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Evaluation of a Low Cost Thermographic Camera for PoultryTemperature

机译:评估低成本热量摄像机进行家禽温度

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Temperature and humidity directly affect poultry performance. To monitor temperature effects on a bird's thermal state, different devices and methodologies are currently used, including dataloggers, infrared thermometers and cameras. The use of thermographic cameras is increasing in animal production because it is noninvasive, and not require handling, which reduces stress. Despite these advantages, the equipment cost is still high, being a barrier for popularization of its use. The aim of this studywas to verify if a low cost mobile thermographic camera (LC) can replace a high cost one (HC). The research was conducted with 420 pullets (Lohmann LSL Lite) raised in four controlled environments: thermoneutral (TN, 20°C), mild heat (MiH, 25°C), moderate heat (MoH, 30°C) and severe heat (SH, 3S°C). Two thermographic cameras were utilized: HC (ThermpCAM~R b60), LC (FLIR One), both from the same company (FLIR Systems). Pictures were taken using both cameras in equal time and distance. Images were analyzed using the software FLIR ResearchlR. From each image, temperature of 8 distinct parts were collected, divided into six points and two areas. Data were analyzed by ANOVA using the software SigmaPlot. For all situations HC showed higher temperatures(P<0.001). Images from LC at the SH environment were the hardest to analyze. The leg temperature had the highest difference (A T=7.4°C) between the tested cameras. Measurement by area indicated less difference than point measures. The differences foundbetween the thermographic cameras is significant (P<0.001). A calibration procedure is offered that allows the LC to be used with improved accuracy.
机译:温度和湿度直接影响家禽性能。监测对鸟的热状态的温度效应,目前使用不同的设备和方法,包括数据转换器,红外温度计和相机。在动物生产中使用热敏摄像机是不禁止的,而不是需要处理,这减少了应力。尽管有这些优势,设备成本仍然很高,是普及普及的障碍。该研究的目的是验证低成本移动热量摄像机(LC)是否可以代替高成本(HC)。该研究进行了420次毛绒(Lohmann LSL Lite),在四个受控环境中提升:热源(TN,20°C),温和的热(MIH,25℃),中等热(MOH,30°C)和严重的热量( SH,3s°C)。使用两个热量摄像机:HC(Thermpcam〜R B60),LC(FLIR One),来自同一公司(FLIR系统)。使用两个相同的时间和距离采用图像。使用软件FLIR ResearchLR进行分析图像。从每个图像中,收集8个不同零件的温度,分为六点和两个区域。使用Sigmaplot的ANOVA分析数据。对于所有情况,HC显示出更高的温度(P <0.001)。 SH环境中LC的图像最难分析。腿部温度在测试的摄像机之间具有最高差异(T = 7.4°C)。按区域测量表明差异不如点措施。衍生摄像机的差异显着(P <0.001)。提供校准程序,允许LC以提高的精度使用。

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