文献类型: 外文期刊
作者: Huang, Lin-Sheng 1 ; Zhang, Dong-Yan 1 ; Liang, Dong 1 ; Yuan, Lin 2 ; Zhao, Jin-Ling 2 ; Hu, Gen-Sheng 1 ; Du, Shi-Zh 1 ;
作者机构: 1.Anhui Univ, Minist Educ, Key Lab Intelligent Comp & Signal Proc, Hefei 230039, Peoples R China
2.Beijing Res Ctr Informat Technol Agr, Beijing 100097, Peoples R China
3.Anhui Acad Agr Sci, Crops Res Inst, Hefei 230031, Peoples R China
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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