您好,欢迎访问北京市农林科学院 机构知识库!

Predicting Winter Wheat Grain Quality Using Hyperspectral Data Based On Plant Nitrogen Status

文献类型: 外文期刊

作者: Wang, Huifang 1 ; Wang, Jihua 1 ; Feng, Meichen 3 ; Wang, Qian 1 ; Huang, Wenjiang 1 ; Shi, Zongtao 3 ;

作者机构: 1.Beijing Res Ctr Informat Technol Agr, Beijing 100097, Peoples R China

2.Zhejiang Univ, Inst Agr Remote Sensing & Informat Syst Applicat, Hangzhou 310029, Peoples R China

3.Shanxi Agr Univ, Coll Agr, Taigu 030801, Peoples R China

关键词: winter wheat;grain quality content;canopy reflectance;leaf & stem nitrogen content

期刊名称:NATURAL RESOURCES AND SUSTAINABLE DEVELOPMENT II, PTS 1-4

ISSN: 1022-6680

年卷期: 2012 年 524-527 卷

页码:

收录情况: SCI

摘要: Quality of winter wheat from hyperspectral data would provide opportunities to manage grain harvest differently, and to maximize output by adjusting input in fields. In this study, two varieties winter wheat as the object, hyperspectral data were utilized to predict grain quality. Firstly, the leaf and stem nitrogen content at winter wheat anthesis stage was proved to be signification correctly with crude content and wet gluten. And the leaf relatedcoefficient more than stem at the anthesis. Then, spectral indices significantly correlated to plant nitrogen content at anthesis stage were potential indicators for grain qualities. The vegetation index, VI derived from the canopy spectral reflectance was signification correlated to the leaf nitrogen content at anthesis stage, and highly significantly correlated to the leaf nitrogen content. Based on above analysis, the predict grain quality model were build and the related coefficient were 0.86, 0.68, 0.84, 0.58 which were reached a very significant. The result demonstrated the model based on SIPI and RVI to predict different cultivars wheat grain quality were practical and feasible.

  • 相关文献

[1]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

[2]Estimation of nitrogen status in middle and bottom layers of winter wheat canopy by using ground-measured canopy reflectance. Wang, ZJ,Wang, JH,Liu, LY,Huang, WJ,Zhao, CJ,Lu, YL. 2005

[3]Simulation of Winter Wheat Phenology in Beijing Area with DSSAT-CERES Model. Haikuan Feng,Zhenhai Li,Peng He,Xiuliang Jin,Guijun Yang,Haiyang Yu,Fuqin Yang. 2016

[4]CHARACTERIZATION OF POWDERY MILDEW IN WINTER WHEAT USING MULTI-ANGULAR HYPERSPECTRAL MEASUREMENTS. Jinling Zhao,Lin Yuan,Linsheng Huang,Dongyan Zhang,Jingcheng Zhang,Xiaohe Gu. 2013

[5]Retrieval of LAI and leaf chlorophyll content from remote sensing data by agronomy mechanism knowledge to solve the ill-posed inverse problem. Zhenhai Li,Chenwei Nie,Guijun Yang,Xingang Xu,Xiuliang Jin,Xiaohe Gu. 2014

[6]Monitoring the ratio of leaf carbon to nitrogen in winter wheat with hyperspectral measurements. Xin-gang Xu,Xiao-dong Yang,Xiao-he Gu,Hao Yang,Hai-kuan Feng,Gui-jun Yang,Xiao-yu,Song. 2015

[7]Study the Spatial-Temporal Variation of Wheat Growth Under Different Site-Specific Nitrogen Fertilization Approaches. Bei Cui,Wenjiang Huang,Xiaoyu Song,Huichun Ye,Yingying Dong. 2019

[8]EVALUATION OF ARABLE LAND YIELD POTENTIAL THROUGH REMOTE SENSING MONITORING. Song Xiaoyu,Gu Xiaohe,Wang Jihua,Chang Hong. 2014

[9]SPATIAL VARIABILITY OF WINTER WHEAT GROWTH BASED ON THE INDIVIDUAL INDEX AND THE POPULATION INDEX. Bei Cui,Xiaoyu Song,Wude Yang,Meichen Feng,Jihua Wang. 2014

[10]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

[11]Winter wheat biomass estimation based on canopy spectra. Zheng Ling,Zhu Dazhou,Zhang Baohua,Wang Cheng,Zhao Chunjiang,Zheng Ling,Liang Dong. 2015

[12]MONITORING WINTER WHEAT MATURITY BY HYPERSPECTRAL VEGETATION INDICES. Wang, Qian,Huang, Yuanfang,Wang, Qian,Li, Cunjun,Wang, Jihua,Song, Xiaoyu,Huang, Wenjiang. 2012

[13]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

[14]SELECTION OF SPECTRAL CHANNELS FOR SATELLITE SENSORS IN MONITORING YELLOW RUST DISEASE OF WINTER WHEAT. Yuan, Lin,Wang, Jihua,Yuan, Lin,Zhang, Jingcheng,Nie, Chenwei,Wei, Liguang,Yang, Guijun,Wang, Jihua,Yuan, Lin,Zhang, Jingcheng,Nie, Chenwei,Wei, Liguang,Yang, Guijun,Wang, Jihua. 2013

[15]Damage Mapping of Powdery Mildew in Winter Wheat with High-Resolution Satellite Image. Yuan, Lin,Zhang, Jingcheng,Nie, Chenwei,Wei, Liguang,Wang, Jihua,Zhang, Jingcheng,Wang, Jihua,Zhang, Jingcheng,Wang, Jihua,Yuan, Lin,Zhang, Jingcheng,Wang, Jihua,Shi, Yeyin. 2014

[16]Monitoring and Forecasting Winter Wheat Freeze Injury and Yield from Multi-Temporal Remotely Sensed Data. Wang, Huifang,Huo, Zhiguo,Zhou, Guangsheng,Wu, Li,Wang, Huifang,Feng, Haikuan. 2016

[17]Hyperspectral Estimation of Leaf Water Content for Winter Wheat Based on Grey Relational Analysis(GRA). Jin Xiu-liang,Wang Yan,Tan Chang-wei,Zhu Xin-kai,Guo Wen-shan,Xu Xin-gang,Wang Ji-hua,Li Xin-chuan. 2012

[18]Using new hyperspectral index to estimate leaf chlorophyll content in winter wheat. Xu, Xingang,Song, Xiaoyu,Li, Cunjun,Wang, Jihua. 2012

[19]Leaf Area Index Estimation Using Vegetation Indices Derived From Airborne Hyperspectral Images in Winter Wheat. Xie, Qiaoyun,Huang, Wenjiang,Liang, Dong,Huang, Linsheng,Zhang, Dongyan,Chen, Pengfei,Wu, Chaoyang,Yang, Guijun,Zhang, Jingcheng. 2014

[20]Winter wheat field transformation monitoring through remote sensing in Beijing suburb. Song, Xiaoyu,Cui, Fangning,Gu, Xiaohe,Xu, Xingang,Cui, Fangning,Wang Jihua. 2014

作者其他论文 更多>>