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Spectral Evaluations for Developing Optical Methods of Huanglongbing (HLB) Detection in Citrus Orchards

机译:柑橘果园黄龙(HLB)检测光学方法的光谱评估

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Huanglongbing (HLB) is a devastating citrus disease that threatens the citrus industry in Florida. Several efforts are ongoing to control and contain this disease to protect the citrus industry. Among different approaches, detection of HLB is one of the critical steps in HLB management and control. At the Citrus Research and Education Center, Lake Alfred, we are working on multiple approaches to develop an effective and accurate mobile sensor system that can be used to detect HLB under field conditions. This research presents some of our ongoing work on HLB detection. A SVC HR-1024 spectroradiometer (350-2,500 nm) and a portable InfraSpec VFA-IR spectrometer (5,150-10,720 nm) were used to collect data from the healthy and HLB-infected citrus leavesto evaluate the applicability of the optical sensors. The reflectance data were collected in the visible, near-infrared, and mid-infrared regions of the electromagnetic spectra. The reflectance data were analyzed using statistical methods to classify HLB-infected citrus leaves from that of healthy ones. Preliminary results showed the potential of these methods in detecting HLB-infected citrus leaves with good accuracy.
机译:黄龙病(HLB)是一种破坏性的柑橘病威胁的柑橘产业在佛罗里达州。几个正在继续努力控制和遏制这种疾病,保护柑橘产业。中不同的方法,HLB的检测是在HLB管理和控制的关键步骤之一。在柑橘研究和教育中心,阿尔弗雷德湖,我们正在多个工作方法来制定一个有效的,准确的移动传感器系统,可用于检测田间条件下HLB。这项研究提出了一些我们的HLB检测正在进行的工作。甲SVC HR-1024光谱仪(350-2,500纳米)和便携式InfraSpec VFA-IR光谱仪(5,150-10,720纳米)被用来收集数据从健康和HLB感染柑桔leavesto评估光学传感器的适用性。反射率数据在电磁光谱的可见光,近红外和中红外区域收集。用统计方法来HLB感染的柑橘叶片与健康者的分类的反射率数据进行了分析。初步结果显示,在检测具有良好的精度HLB感染的柑橘叶片这些方法的潜力。

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