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Application of infrared thermography technology for irrigation scheduling of winter wheat

机译:红外热成像技术在冬小麦灌溉调度中的应用

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Infrared thermography was used for winter wheat irrigation scheduling, because this method has advantages of non-contact, estimating large leave populations and saving human power, easy and fast. Measurements were taken under a range of environmental conditions by using infrared thermography to take thermal images of the winter wheat to acquire the temperatures of the canopy (Tcanopy) and its background, then testing the temperature of the reference leaves made by special methods to acquire two parameters, Twet and Tdry. According to former research, Crop Water Stress Index (CWSI) can be calculated through an empirical formula by utilizing Tcanopy, Twet and Tdry. CWSI has long been recognized as an indicator of plant water status and as a potential tool for irrigation scheduling. Because RGB color model used in the modern infrared thermography was designed to display different temperatures with different colors in these images, such relation with each others as: T=f (R, G, B); For getting more accurate temperature, firstly, utilizing image smoothing processing to reduce the influence of image noise. Secondly, highlight the desired part in the image of the winter wheat by color image enhancement; Then, taking the Twet and Tdry temperatures as threshold temperature to have color image segmentation for removing the color which represented the temperature of background such as soil and weed. After image processing, the image can be analyzed to give the average temperature of the real canopy to acquire the precise value of Tcanopy, then it'll be easy to obtain the right CWSI value. Comparing with the traditional method, this method has a high reliability to get CWSI. It's feasible to take infrared thermography as a tool for irrigation scheduling of winter wheat.
机译:红外热成像用于冬小麦灌溉调度,因为这种方法具有非接触的优点,估计大的留言,并节省人力资源,容易快速。通过使用红外热成像在一系列环境条件下进行测量,以采取冬小麦的热图像,以获得冠层(Tcanopy)及其背景的温度,然后测试通过特殊方法制作的参考叶片的温度以获得两个参数,细胞和tdry。根据以前的研究,通过利用TCanopy,Tefet和Tdry,可以通过经验公式计算作物水分应激指数(CWSI)。 CWSI长期被认为是植物水状况的指标,也是灌溉调度的潜在工具。由于现代红外热成像中使用的RGB颜色模型设计用于在这些图像中以不同的颜色显示不同的温度,与彼此的不同颜色为:T = F(R,G,B);为了获得更精确的温度,首先,利用图像平滑处理来减少图像噪声的影响。其次,通过彩色图像增强突出冬小麦图像中所需的部分;然后,将细胞和Tdry温度置于阈值温度,以具有用于去除表示诸如土壤和杂草的背景温度的颜色的彩色图像分割。在图像处理之后,可以分析图像以使真正的覆盖器的平均温度来获取TCanopy的精确值,然后易于获得正确的CWSI值。与传统方法相比,该方法具有高可靠性来获取CWSI。将红外线热成像作为冬小麦灌溉调度的工具,这是可行的。

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