Detecting powdery mildew of winter wheat using leaf level hyperspectral measurements

文献类型： 外文期刊

第一作者： Zhang, Jing-Cheng

作者： Zhang, Jing-Cheng;Wang, Ji-hua;Huang, Wen-jiang;Yuan, Lin;Luo, Ju-hua;Zhang, Jing-Cheng;Pu, Rui-liang;Zhang, Jing-Cheng;Yuan, Lin

作者机构：

关键词： Powdery mildew;Spectral feature;Partial least square regression (PLSR);Fisher linear discriminate analysis (FLDA);Cross validation

期刊名称：COMPUTERS AND ELECTRONICS IN AGRICULTURE （ 影响因子：5.565； 五年影响因子：5.494 ）

ISSN： 0168-1699

年卷期： 2012 年 85 卷

页码：

收录情况： SCI

摘要： Powdery mildew (Blumeria graminis) is one of the most destructive diseases, which has a significant impact on the production of winter wheat. Detecting powdery mildew via spectral measurement and analysis is a possible alternative to traditional methods in obtaining the spatial distribution information of the disease. In this study, hyperspectral reflectances of normal and powdery mildew infected leaves were measured with a spectroradiometer in a laboratory. A total of 32 spectral features (SFs) were extracted from the lab spectra and examined through a correlation analysis and an independent t-test associated with the disease severity. Two regression models: multivariate linear regression (MLR) and partial least square regression (PLSR) were developed for estimating the disease severity of powdery mildew. In addition, the fisher linear discriminant analysis (FLDA) was also adopted for discriminating the three healthy levels (normal, slightly-damaged and heavily-damaged) of powdery mildew with the extracted SFs. The experimental results indicated that (1) most SFs showed a clear response to powdery mildew; (2) for estimating the disease severity with SFs, the PLSR model outperformed the MLR model, with a relative root mean square error (RMSE) of 0.23 and a coefficient of determination (R-2) of 0.80 when using seven components; (3) for discrimination analysis, a higher accuracy was produced for the heavily-damaged leaves by FLDA with both producer's and user's accuracies over 90%; (4) the selected broad-band SFs revealed a great potential in estimating the disease severity and discriminating severity levels. The results imply that multispectral remote sensing is a cost effective method in the detection and mapping of powdery mildew. (C) 2012 Elsevier B.V. All rights reserved.

分类号：

  • 相关文献

[1]Differentiation of Yellow Rust and Powdery Mildew in Winter Wheat and Retrieving of Disease Severity Based on Leaf Level Spectral Analysis. Yuan Lin,Zhang Jing-cheng,Zhao Jin-ling,Wang Ji-hua,Yuan Lin,Zhang Jing-cheng,Wang Ji-hua,Huang Wen-jiang. 2013

[2]Spectral analysis of winter wheat leaves for detection and differentiation of diseases and insects. Yuan, Lin,Nie, Chenwei,Wang, Jihua,Zhang, Jingcheng,Yuan, Lin,Nie, Chenwei,Wang, Jihua,Zhang, Jingcheng,Huang, Yanbo,Loraamm, Rebecca W.. 2014

[3]Accuracy of genomic prediction for milk production traits in the Chinese Holstein population using a reference population consisting of cows. Ding, X.,Zhang, Z.,Li, X.,Wang, S.,Wu, X.,Sun, D.,Yu, Y.,Liu, J.,Wang, Y.,Zhang, Y.,Zhang, S.,Zhang, Y.,Zhang, Q.,Zhang, Z.. 2013

[4]How do temporal and spectral features matter in crop classification in Heilongjiang Province, China?. Hu Qiong,Wu Wen-bin,Song Qian,Lu Miao,Chen Di,Yu Qiang-yi,Tang Hua-jun,Song Qian. 2017

[5]Mapping Plastic-Mulched Farmland with Multi-Temporal Landsat-8 Data. Hasituya,Chen, Zhongxin. 2017

[6]Detecting Aphid Density of Winter Wheat Leaf Using Hyperspectral Measurements. Luo, Juhua,Ma, Ronghua,Huang, Wenjiang,Zhao, Jinling,Zhang, Jingcheng,Zhao, Chunjiang. 2013

[7]Molecular cloning, functional verification, and evolution of TmPm3, the powdery mildew resistance gene of Triticum monococcum L.. Zhao, C. Z.,Li, Y. H.,Dong, H. T.,Geng, M. M.,Liu, W. H.,Li, F.,Ni, Z. F.,Xie, C. J.,Sun, Q. X.,Zhao, C. Z.,Dong, H. T.,Geng, M. M.,Liu, W. H.,Li, F.,Ni, Z. F.,Xie, C. J.,Sun, Q. X.,Zhao, C. Z.,Wang, X. J.. 2016

[8]Two members of TaRLK family confer powdery mildew resistance in common wheat. Tingting Chen,Jin Xiao,Jun Xu,Wentao Wan,Bi Qin,Aizhong Cao,Wei Chen,Liping Xing,Chen Du,Xiquan Gao,Shouzhong Zhang,Ruiqi Zhang,Wenbiao Shen,Haiyan Wang,Xiue Wang. 2016

[9]Quantitative trait loci mapping of adult-plant resistance to powdery mildew in Chinese wheat cultivar Lumai 21. Caixia Lan,Xiaowen Ni,Jun Yan,Yong Zhang,Xianchun Xia,Xinmin Chen,Zhonghu He.

[10]Spectroscopic Leaf Level Detection of Powdery Mildew for Winter Wheat Using Continuous Wavelet Analysis. Zhang Jing-cheng,Yuan Lin,Wang Ji-hua,Huang Wen-jiang,Chen Li-ping,Zhang Dong-yan,Zhang Jing-cheng,Yuan Lin,Wang Ji-hua,Zhang Dong-yan,Huang Wen-jiang. 2012

[11]Discrimination of yellow rust and powdery mildew in wheat at leaf level using spectral signatures. Yuan, Lin,Zhang, Jingcheng,Zhao, Jinling,Du, Shizhou,Huang, Wenjiang,Wang, Jihua. 2012

[12]Reaction to powdery mildew and stripe rust in related species and landraces of wheat. He, Danxia,Li, Hongjie,Xu, Shichang,Duan, Xiayu,Zhou, Yilin,Li, Lihui. 2007

[13]Molecular Characterization of a New Wheat-Thinopyrum intermedium Translocation Line with Resistance to Powdery Mildew and Stripe Rust. Zhan, Haixian,Li, Guangrong,Pan, Zhihui,Yang, Zujun,Zhan, Haixian,Zhang, Xiaojun,Hu, Jin,Li, Xin,Qiao, Linyi,Guo, Huijuan,Chang, Zhijian,Jia, Juqing,Chang, Zhijian. 2015

[14]Identification of the resistance gene to powdery mildew in Chinese wheat landrace Baiyouyantiao. Feng Jing,Fan Jie-ru,Zhou Yi-lin,Xu Xiao-dan,Ma Zhan-hong,Liu Zhi-yong,Li Qiang. 2018

[15]Pathotypes and Genetic Diversity of Blumeria graminis f sp hordei in the Winter Barley Regions in China. Zhu Jing-huan,Wang Jun-mei,Jia Qiao-jun,Yang Jian-ming,Lin Feng,Hua Wei,Shang Yi,Zhu Jing-huan,Zhou Yi-jun,Zhou Yi-jun. 2010

[16]Detection of Wheat Powdery Mildew by Differentiating Background Factors using Hyperspectral Imaging. Zhang, Dongyan,Zhang, Lifu,Zhang, Dongyan,Wang, Xiu,Zhang, Dongyan,Wang, Xiu,Lin, Fenfang,Huang, Yanbo. 2016

[17]Molecular characterisation of the broad-spectrum resistance to powdery mildew conferred by the Stpk-V gene from the wild species Haynaldia villosa. Qian, C.,Cui, C.,Wang, X.,Zhou, C.,Hu, P.,Li, M.,Li, R.,Xiao, J.,Wang, X.,Chen, P.,Xing, L.,Cao, A.,Qian, C.. 2017

[18]Gene expression profiling related to powdery mildew resistance in wheat with the method of suppression subtractive hybridization. Luo, M,Kong, XY,Huo, NX,Zhou, RH,Jia, JZ. 2002

[19]New Optimized Spectral Indices for Identifying and Monitoring Winter Wheat Diseases. Huang, Wenjiang,Guan, Qingsong,Guan, Qingsong,Zhao, Jinling,Liang, Dong,Huang, Linsheng,Zhang, Dongyan,Luo, Juhua,Zhang, Jingcheng. 2014

[20]Control of Powdery Mildew in Organic Greenhouse Melon Cultivation. Qin, F. F.,Xu, H. L.,Xu, Q. C.. 2011

作者其他论文 更多>>

微信小程序