选择参考表面,通过叶片温度监测评估植物健康状况

Rather Laasani Sanya Shabir, Shivani Chauhan, Navneet Kumar
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摘要

我们利用红外热成像技术远程监控叶片和植株的温度,这反过来又表明了它们的健康状况和压力,尤其是水分压力。我们使用 FlukeTiX580 热成像仪对番茄植株进行了一系列实验,将叶片温度与不同阶段(如健康、枯萎/萎蔫和完全枯死/干枯)相关联。叶片温度与一系列基于纸张的参考表面温度进行比较;这些参考表面颜色不同,有些是干的,有些是湿的。所有参考表面都在底部进行了隔热处理,以确保其上部表面只与周围环境发生热交互。这些表面之间保持足够的距离。研究发现,健康叶片的温度接近于白色干燥和黑色潮湿参照表面的温度,而枯萎和濒死叶片的温度则介于黄色和红色之间,这表明该温度范围能更好地预测叶片中水胁迫的发生。完全死亡/干燥的叶片温度分别介于绿色和蓝色干燥表面之间。不过,大部分枯叶温度数据都积聚在靠近绿色表面的地方,这表明绿色干燥表面能更好地指示枯叶状况。与光学监测相比,基于温度的健康评估为我们提供了及时的干预措施,以防止叶片死亡,因为红外图像显示叶片温度在发现光学不健康(叶片出现黄斑)前 2-3 天升高。
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Choice of Reference Surfaces to assess Plant Health through leaf scale temperature monitoring
We use infrared thermal imaging to remotely monitor the temperature of the leaves and plant which in turn is an indicative of their health and stress; in particular water stress. A series of experiments were conducted using Fluke TiX580 thermal imager on tomato plants to correlate the leaf temperature to different stages such as healthy, dying/wilted, and completely dead/dry. The leaf temperature was compared to a series of paper-based reference surface temperatures; these are of different colors and some are dry while some are wet. All the reference surfaces were insulated at the bottom ensuring the heat interaction between their top surfaces and ambient only. The surfaces were kept sufficiently far from one another. The healthy leaf temperature was found to be close to that of white dry and black wet reference surfaces whereas the wilted and dying leaves temperature were observed to range between yellow and red signifying that this temperature range can better predict the onset of water stress in the leaves. The completely dead/dry leaves were observed to range between green and blue dry surfaces, respectively. However, most of the dead leaf temperature data was found to be accumulated closer to the green surface signifying green dry surface can better indicate a dead leaf condition. The dying leaves were observed to exhibit 8-10 degree centigrade higher temperatures as compared to the healthy leaves in similar ambient conditions. Temperature-based health assessment provides us with a timely intervention to prevent leaf death compared to the optical monitoring since IR images revealed elevated leaf temperature 2-3 days before the optical unhealthiness (appearance of yellowness on the leaf) was noticed.
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