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首页> 外文会议>Annual International Meeting of the American Society of Agricultural and Biological Engineers >Visible-near infrared spectroscopy based Grapevine leafroll-associated virus-3 detection from undetached leavesunder field condition
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Visible-near infrared spectroscopy based Grapevine leafroll-associated virus-3 detection from undetached leavesunder field condition

机译：基于可见的近红外光谱基于葡萄叶片leafroll相关的病毒-3检测从未解压缩的叶子条件

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Grapevine leafroll disease (GLD) causes substantial economic losses to grapevine industry in the United States. Methods like destructive sampling followed by enzyme-linked immunosorbent assay (ELISA), reverse transcription-polymerase chain reaction (RT-PCR), and destructive spectral measurements have been used to detect GLD. Applicability of visible and near infrared (VIS-NIR) spectrometer was assessed to detect GLD in red berried wine-grape cultivar, Cabernet Sauvignon. On each sampling day, 60 healthy and 60 infected leaves (30 symptomatic and 30 presymptomatic) were sampled using VIS-NIR spectrometer. Feature extraction using stepwise multilinear regression (SMLR) and partial least square regression (PLSR) reported significant differences betweenthe healthy and infected plants in visible (351, 377, 501, 526, 626, and 676 nm) and nearinfrared (726, 826, 901, 951, 976, 1001, 1027, 1052 and 1101 nm) regions. However, significant spectral bands from near infrared region (901, 1001, 1027 and 1101 nm) repeated temporally for both symptomatic and presymptomatic samples. Principal componentanalysis (PCA) suggested that selected spectral bands exhibit high class discriminating power for disease detection. Classification accuracies in the range of 80-100%, 63-100% and 77-100% was reported for healthy, infected and overall classes using quadratic discriminant analysis (QDA) and naive bayes (NB). The accuracy for disease detection was significantly higher during early stages compared to later stage, indicating robustness of the selected features for early disease detection. This results fromthis study could be helpful in developing a portable and low cost sensing system for rapid and nondestructive detection of GLD infestation in red-berried grapevines.
机译：Grapevine Leafroll病（GLD）对美国葡萄产业造成大量经济损失。方法如破坏性取样，然后是酶联免疫吸附测定（ELISA），逆转录 - 聚合酶链反应（RT-PCR），以及破坏性光谱测量用于检测GLD。可见和近红外线（Vis-NIR）光谱仪的适用性被评估为检测红葡萄酒葡萄品种，赤霞珠的GLD。在每个取样日，使用Vis-nir光谱仪对每天进行60个健康和60个感染的叶子（30个症状和30个假设）。使用逐步多线性回归（SMLR）和局部最小二乘回归（PLSR）的特征提取报告了可见的健康和感染植物（351,377,501,526,626和676nm）中的健康和受感染的植物之间的显着差异，并且接近过量（726,826,901 ，951,976,1001,1027,1052和1101 nm）区域。然而，对于症状和假设样本，来自近红外区域（901,1001,1027和1101nm）重复的显着光谱带。主要成分分析（PCA）表明所选光谱带表现出高等鉴别的疾病检测。据报道，使用二次判别分析（QDA）和幼稚贝叶斯（NB），报告了80-100％，63-100％和77-100％的63-100％和77-100％。与后期阶段相比，早期阶段的疾病检测的准确性显着较高，表明早期疾病检测的所选特征的稳健性。这导致的研究可能有助于开发一种用于在红葡萄园中的GLD侵扰的快速和无损检测的便携式和低成本传感系统。

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