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Monitoring of Wheat Scab Using the Specific Spectral Index from ASD Hyperspectral Dataset
Journal of Spectroscopy ( IF 2 ) Pub Date : 2019-11-11 , DOI: 10.1155/2019/9153195
Linsheng Huang 1 , Hansu Zhang 1, 2 , Wenjuan Ding 1 , Wenjiang Huang 1, 2 , Tingguang Hu 1, 2 , Jinling Zhao 1
Affiliation  

It is highly important to accurately monitor wheat scab and provide technical guidance for the crop pests and diseases. In this study, relevant analysis was performed among spectral reflectance, first-derivate data, and the disease severity data through ASD hyperspectral data. Two sensitive spectral wavelength ranges of 450–488 nm and 500–540 nm were selected. Then, a new wheat scab index (WSI) consisting of the two bands was proposed. The inversion models of the scab severities were comparatively built by unitary linear regression and multiple stepwise regression techniques. The results showed that the WSI had a significant linear relationship with severity of disease compared with other commonly used spectral indices. The fitting R2, testing R2, and RMSE were 0.73, 0.70, and 13.41, respectively. The multiple stepwise regression model established using the WSI, SDg/SDb, NBNDVI, and SDg as independent variables was better than the single-variable model. Our results suggest that WSI can be used to provide scientific guidance for monitoring and precise management of wheat scab disease.

中文翻译:

使用ASD高光谱数据集中的特定光谱指数监测小麦黑星病

准确监测小麦黑星病并为作物病虫害提供技术指导非常重要。在这项研究中,通过ASD高光谱数据对光谱反射率,一阶导数数据和疾病严重性数据进行了相关分析。选择了两个敏感的光谱波长范围450–488 nm和500–540 nm。然后,提出了由两个波段组成的新小麦sc病指数(WSI)。通过单一线性回归和多重逐步回归技术比较建立了the病严重程度的反演模型。结果表明,与其他常用的光谱指数相比,WSI与疾病的严重程度具有显着的线性关系。配件R 2,测试R 2,RMSE分别为0.73、0.70和13.41。使用WSI,SD g / SD b,NBNDVI和SD g作为自变量建立的多元逐步回归模型优于单变量模型。我们的结果表明,WSI可用于为监测和精确管理小麦wheat病提供科学指导。
更新日期:2019-11-11
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