Continuous Wavelet Analysis for Diagnosing Stress Characteristics of Leaf Powdery Mildew

文献类型： 外文期刊

第一作者： Huang, Lin-Sheng

作者： Huang, Lin-Sheng;Zhang, Dong-Yan;Liang, Dong;Hu, Gen-Sheng;Huang, Lin-Sheng;Zhang, Dong-Yan;Yuan, Lin;Zhao, Jin-Ling;Du, Shi-Zhou;Xu, Xin-Gang;Du, Shi-Zhou

作者机构：

关键词： Powdery mildew;Spectral diagnosis;Correlation coefficient;Continuous wavelet;Chlorophyll

期刊名称：INTERNATIONAL JOURNAL OF AGRICULTURE AND BIOLOGY （ 影响因子：0.822； 五年影响因子：0.906 ）

ISSN： 1560-8530

年卷期： 2013 年 15 卷 1 期

页码：

收录情况： SCI

摘要： Powdery mildew is a severe wheat disease that causes heavy yield loss all around the world. In order to identify and diagnose its early stress characteristics, the biochemical parameters and spectral data of wheat at the early infection stage were obtained, and then the chlorophyll-sensitive bands of the first, second and third leaf were selected using correlation coefficient method and continuous wavelet transform method. By comparing the determination coefficient and selected wavelength obtained from the two methods, we found that: 1) at the early infection stage, second leaf had highest reflectance value, followed by first leaf, and third leaf had lowest value; 2) when the original, first and second order data were processed by continuous wavelet analysis, the obtained chlorophyll-sensitive determination coefficients were 0.624, 0.685 and 0.704, respectively, which were 34.4, 8.4 and 9.1% higher than that obtained by correlation coefficient method, 0.280, 0.601 and 0.613, respectively. The selected wavelength, 885 and 1038 nm, was related with the biological characteristics of wheat leaf cell; 2188 nm was related with the moisture change within blade, which was reasonable. The results showed that continuous wavelet analysis is more promising than correlation coefficient analysis for the spectral diagnosis of powdery mildew. (C) 2013 Friends Science Publishers

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