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Study on the Early Detection of Sclerotinia of Brassica Napus Based on Combinational-Stimulated Bands

文献类型： 外文期刊

作者： Liu Fei 2 ; Feng Lei 2 ; Lou Bing-gan 1 ; Sun Guang-ming 2 ; Wang Lian-ping 3 ; He Yong 2 ;

作者机构： 1.Zhejiang Univ, Inst Biotechnol, Hangzhou 310029, Zhejiang, Peoples R China

2.Zhejiang Univ, Coll Biosyst Engn & Food Sci, Hangzhou 310029, Zhejiang, Peoples R China

3.Zhejiang Acad Agr Sci, Inst Plant Protect & Microl, Hangzhou 310021, Zhejiang, Peoples R China

关键词： Visible/near infrared spectroscopy;Sclerotinia of oilseed rape;Direct orthogonal signal correction;Successive projections algorithm;Least squares-support vector machine

期刊名称：SPECTROSCOPY AND SPECTRAL ANALYSIS （ 影响因子：0.589； 五年影响因子：0.504 ）

ISSN： 1000-0593

年卷期： 2010 年 30 卷 7 期

页码：

收录情况： SCI

摘要： The combinational-stimulated bands were used to develop linear and nonlinear calibrations for the early detection of sclerotinia of oilseed rape (Brassica napus L.). Eighty healthy and 100 Sclerotinia leaf samples were scanned, and different preprocessing methods combined with successive projections algorithm (SPA) were applied to develop partial least squares (PLS) discriminant models, multiple linear regression (MLR) and least squares-support vector machine (LS-SVM) models. The results indicated that the optimal full-spectrum PLS model was achieved by direct orthogonal signal correction (DOSC), then De-trending and Raw spectra with correct recognition ratio of 100%, 95. 7% and 95. 7%, respectively. When using combinational-stimulated bands, the optimal linear models were SPA-MLR (DOSC) and SPA-PLS (DOSC) with correct recognition ratio of 100%. All SPA-LS-SVM models using DOSC, De-trending and Raw spectra achieved perfect results with recognition of 100%. The overall results demonstrated that it was feasible to use combinational-stimulated bands for the early detection of Sclerotinia of oilseed rape, and DOSC-SPA was a powerful way for informative wavelength selection. This method supplied a new approach to the early detection and portable monitoring instrument of sclerotinia.

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