低成本热像仪早期检测病毒感染辣椒植株温度变化的潜力

IF 0.5 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS
Asmar Hasan, Widodo Widodo, K. Mutaqin, Muhammad Taufik, Sri Hendrastuti Hidayat
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引用次数: 0

摘要

病毒感染对植物生理的影响之一是气孔关闭加快,蒸腾速率降低,从而导致叶片温度升高。植物叶片温度的变化可以通过使用高分辨率热像仪的热成像来测量。结果可以作为病毒感染的指标,甚至在出现明显症状之前。然而,热像仪的传感器分辨率越高,成本越高,这是该方法广泛发展的障碍。本文介绍了利用低成本摄像机热成像技术检测辣椒植株烟草花叶病毒感染的潜力。采用FLIR C2相机记录未接种(V0)和接种病毒(V1)两组植物的图像。值得注意的是,V1在接种后8和12天(dai)的体温低于V0,但在症状出现前(即17天)的体温高于V0。基于k近邻和Naïve贝叶斯分类器,使用低成本热像仪的热成像技术可以检测出8天的早期病毒感染,准确率水平(AUC)分别为80.0%和86.5%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Potential of a Low-Cost Thermal Camera for Early Detection of Temperature Changes in Virus-Infected Chili Plants
One effect of viral infection on plant physiology is increased stomata closure so that the transpiration rate is low, which in turn causes an increase in leaf temperature. Changes in plant leaf temperature can be measured by thermography using high-resolution thermal cameras. The results can be used as an indicator of virus infection, even before the appearance of visible symptoms. However, the higher the sensor resolution of the thermal camera, the more expensive it is, which is an obstacle in developing the method more widely. This article describes the potential of thermography in detecting Tobacco mosaic virus infection in chili-pepper plants using a low-cost camera. A FLIR C2 camera was used to record images of plants in two treatment groups, non-inoculated (V0) and virus-inoculated plants (V1). Significantly, V1 had a lower temperature at 8 and 12 days after inoculation (dai) than those of V0, but their temperature was higher than V0 before symptoms were visible, i.e., at 17 dai. Thermography using low-cost thermal cameras has potency to detect early viral infection at 8 dai with accuracy levels (AUC) of 80.0% and 86.5% based on k-Nearest Neighbors and Naïve Bayes classifiers, respectively.
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来源期刊
Journal of ICT Research and Applications
Journal of ICT Research and Applications COMPUTER SCIENCE, INFORMATION SYSTEMS-
CiteScore
1.60
自引率
0.00%
发文量
13
审稿时长
24 weeks
期刊介绍: Journal of ICT Research and Applications welcomes full research articles in the area of Information and Communication Technology from the following subject areas: Information Theory, Signal Processing, Electronics, Computer Network, Telecommunication, Wireless & Mobile Computing, Internet Technology, Multimedia, Software Engineering, Computer Science, Information System and Knowledge Management. Authors are invited to submit articles that have not been published previously and are not under consideration elsewhere.
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