Estimation of Flavonoids Content of the Wheat Disease Leaves Based on Hyperspectra

文献类型: 外文期刊

第一作者: Du, Shizhou

作者: Du, Shizhou;Wu, Liquan;Wang, Rongfu;Du, Shizhou

作者机构:

关键词: Wheat Disease;Hyperspectral;Flavonoid content;Least Square Support Vector Machine

期刊名称:RESEARCH JOURNAL OF CHEMISTRY AND ENVIRONMENT ( 影响因子:0.636; 五年影响因子:0.511 )

ISSN: 0972-0626

年卷期: 2012 年 16 卷

页码:

收录情况: SCI

摘要: The flavonoid (Flav) content can be used as evaluation index of plant damage and disease grade. To obtain Flay value of wheat disease leave rapidly and accurately, calibration prediction model of Flay value was established by spectroscopy technology and chemical metrology method. In this study, two algorithm Back Propagation Neural Network (BPNN) and the Least Square Support Vector Machine (LS-SVM) were applicated with the main factor of Partial Least Squares (PLS) as input variable. The results show that the algorithm of LS-SVM is superior to BPNN, and the correlation coefficient and root mean square errors of prediction (RMSEP) of LS-SVM algorithm are 0.9475 and 1.0037 respectively

分类号:

  • 相关文献

[1]Estimating Winter Wheat Leaf Area Index From Ground and Hyperspectral Observations Using Vegetation Indices. Xie, Qiaoyun,Huang, Wenjiang,Zhang, Bing,Dong, Yingying,Xie, Qiaoyun,Chen, Pengfei,Song, Xiaoyu,Pascucci, Simone,Pignatti, Stefano,Laneve, Giovanni. 2016

[2]Evaluating Multispectral and Hyperspectral Satellite Remote Sensing Data for Estimating Winter Wheat Growth Parameters at Regional Scale in the North China Plain. Koppe, Wolfgang,Gnyp, Martin L.,Bareth, Georg,Koppe, Wolfgang,Chen, Xinping,Zhang, Fusuo,Li, Fei,Miao, Yuxin,Miao, Yuxin. 2010

[3]Comparative Study on Remote Sensing Invertion Methods for Estimating Winter Wheat Leaf Area Index. Xie Qiao-yun,Huang Wen-jiang,Peng Dai-liang,Zhang Qing,Xie Qiao-yun,Liang Dong,Huang Lin-sheng,Zhang Dong-yan,Cai Shu-hong,Yang Gui-jun. 2014

[4]MONITORING AVAILABLE PHOSPHORUS CONTENT IN SOIL OF CULTIVATED LAND BASED ON HYPERSPECTRAL TECHNOLOGY. Gu, Xiaohe,Wang, Lei,Wang, Lizhi,Fan, Youbo,Yang, Hao,Long, Huiling. 2016

[5]Monitoring Freeze Stress Levels on Winter Wheat from Hyperspectral Reflectance Data Using Principal Component Analysis. Wang Hui-fang,Huo Zhi-guo,Wang Hui-fang,Wang Ji-hua,Dong Ying-ying,Gu Xiao-he. 2014

[6]A Comparison of Regression Techniques for Estimation of Above-Ground Winter Wheat Biomass Using Near-Surface Spectroscopy. Yue, Jibo,Feng, Haikuan,Yang, Guijun,Li, Zhenhai,Yue, Jibo,Yue, Jibo,Yang, Guijun,Li, Zhenhai,Feng, Haikuan,Yang, Guijun,Li, Zhenhai. 2018

[7]The inversion model of soil organic matter of cultivated land based on hyperspectral technology. Gu, Xiaohe,Wang, Yancang,Song, Xiaoyu,Xu, Xingang. 2015

[8]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

[9]Development and implementation of a multiscale biomass model using hyperspectral vegetation indices for winter wheat in the North China Plain. Bareth, Georg,Lenz-Wiedemann, Victoria I. S.,Koppe, Wolfgang,Gnyp, Martin L.,Bareth, Georg,Li, Fei,Lenz-Wiedemann, Victoria I. S.,Chen, Xinping,Gnyp, Martin L.,Li, Fei,Miao, Yuxin,Jia, Liangliang,Koppe, Wolfgang,Hennig, Simon D.,Jia, Liangliang,Chen, Xinping,Zhang, Fusuo,Laudien, Rainer. 2014

[10]A New Method to Decline the SWC Effect on the Accuracy for Monitoring SOM with Hyperspectral Technology. Wang Chao,Feng Mei-chen,Yang Wu-de,Xiao Lu-jie,Li Guang-xin,Zhao Jia-jia,Ren Peng,Li Guang-xin. 2015

[11]Research on Universality of Least Squares Support Vector Machine Method for Estimating Leaf Area Index of Winter Wheat. Xie Qiao-yun,Huang Wen-jiang,Peng Dai-liang,Xie Qiao-yun,Liang Dong,Huang Lin-sheng,Zhang Dong-yan,Xie Qiao-yun,Liang Dong,Huang Lin-sheng,Zhang Dong-yan,Song Xiao-yu,Yang Gui-jun. 2014

[12]Using in-situ hyperspectral data for detecting and discriminating yellow rust disease from nutrient stresses. Zhang, Jingcheng,Huang, Wenjiang,Yuan, Lin,Luo, Juhua,Wang, Jihua,Zhang, Jingcheng,Pu, Ruiliang,Zhang, Jingcheng,Yuan, Lin,Wang, Jihua,Huang, Wenjiang. 2012

[13]Monitoring total nitrogen content in soil of cultivated land based on hyperspectral technology. Gu, Xiaohe,Wang, Lizhi,Zhang, Liyan,Yang, Guijun. 2017

[14]Stitching of hyper-spectral UAV images based on feature bands selection. Xia, L.,Zhang, R. R.,Chen, L. P.,Jiang, H. J.,Xia, L.,Zhang, R. R.,Chen, L. P.,Jiang, H. J.,Xia, L.,Zhang, R. R.,Chen, L. P.,Jiang, H. J.,Xia, L.,Zhang, R. R.,Chen, L. P.,Jiang, H. J.,Zhao, F.. 2016

[15]Analysis of spectral difference between the foreside and backside of leaves in yellow rust disease detection for winter wheat. Yuan, Lin,Zhang, Jing-Cheng,Wang, Ke,Wang, Ji-Hua,Yuan, Lin,Zhang, Jing-Cheng,Wang, Ji-Hua,Zhao, Jin-Ling,Loraamm, Rebecca-W.,Huang, Wen-Jiang.

[16]Assimilation of Two Variables Derived from Hyperspectral Data into the DSSAT-CERES Model for Grain Yield and Quality Estimation. Li, Zhenhai,Xu, Xingang,Zhao, Chunjiang,Yang, Guijun,Feng, Haikuan,Li, Zhenhai,Xu, Xingang,Zhao, Chunjiang,Yang, Guijun,Feng, Haikuan,Li, Zhenhai,Wang, Jihua,Wang, Jihua,Xu, Xingang,Zhao, Chunjiang,Yang, Guijun,Feng, Haikuan,Xu, Xingang,Zhao, Chunjiang,Yang, Guijun,Feng, Haikuan,Jin, Xiuliang. 2015

[17]Estimating the crop leaf area index using hyperspectral remote sensing. Liu Ke,Zhou Qing-bo,Wu Wen-bin,Tang Hua-jun,Liu Ke,Zhou Qing-bo,Wu Wen-bin,Tang Hua-jun,Wu Wen-bin,Xia Tian.

[18]The influence of soil particle sizes on hyperspectral prediction of soil organic matter content. Yao, Yanmin,Si, Haiqing,Wang, Deying,Huang, Qing,Chen, Zhongxin,Liu, Ying. 2015

[19]Monitoring plant response to phenanthrene using the red edge of canopy hyperspectral reflectance. Zhu, Linhai,Wang, Jianjian,Jiang, Lianhe,Zheng, Yuanrun,Zhu, Linhai,Chen, Zhongxin,Wang, Jianjian,Ding, Jinzhi,Ding, Jinzhi,Yu, Yunjiang,Li, Junsheng,Xiao, Nengwen,Rimmington, Glyn M..

[20]Study on non-destructive estimation of nitrogen concentration of water hyacinth by hyperspectral data. Wang, Jingjing,Sun, Ling,Liu, Huazhou,Wang, Jingjing. 2016

作者其他论文 更多>>