Full-Text Search:
Home|Journal Papers|About CNKI|User Service|FAQ|Contact Us|中文
《China Agricultural Informatics》 2018-06
Add to Favorite Get Latest Update

Remote sensing prediction of grain protein content in regional winter wheat

Wang Qi;Song Xiaoyu;Yang Guijun;Li Zhenghai;Feng Haikuan;Key Laboratory of Quantitative Remote Sensing in Agriculture of Ministry of Agriculture,Beijing Research Center for Information Technology in Agriculture Beijing;Shandong Agricultural University;National Engineering Research Center for Information Technology in Agriculture;Beijing Engineering Research Center for Agriculture Internet of Things;  
[Purpose]Grain protein content(GPC) is an important indicator to evaluate the quality of wheat.Predicting the GPC quickly and accurately is beneficial to quality evaluation and hierarchical management.[Method]In this study,several factors that correlated with GPC evaluation,including meteorological factors in study area,wheat plant nitrogen parameters in flowering stage,and satellite spectral parameters for wheat samples,were analyzed using multi-linear regression(MLR),extreme learning machine algorithm(ELM) and geographical weighted regression(GWR) methods.Then the GPC prediction models based on different independent variables and methods were built and evaluated.[Result]The results showed that:(1) The nitrogen parameters at wheat flowering stage and the wheat canopy spectral parameters have significant correlations with wheat GPC.The key meteorological factors affecting the GPC of wheat include rainfall from 26 May to 30 May,sunshine time from mid-May to early June and accumulated temperature from early March to early June.(2) The coefficient of determination(R~2) of MLR model is 0.598,while the accuracies of Normalized root mean squared error(nRMSE) and Mean absolute error(MAE) are 10.36% and 1.091 respectively,which are stable.The R~2 of the GPC model based on ELM is 0.483,while the standard nRMSE and MAE are 10.895%and 1.111 respectively.The R~2 of the GPC GWR model is 0.616,while the standard nRMSE and MAE are 8.58% and 0.956 respectively,which are the optimal.[Conclusion]According to the precision evaluation indicator of the comprehensive analysis model,the multivariate parameter model is superior to the univariate parameter model.The multivariate parameter GWR model that takes the instability of spatial data into account has the best prediction accuracy and can predict the GPC more accurately.This study provides a reliable basis for accurately predicting the GPC in different regions and years,which has a broad application prospect in the future.
【Fund】: 国家重点研发计划(2016YFD0300603 2016YFD0700303);; 国家自然科学基金项目(41371349;41471285)
【CateGory Index】: S512.11;S127
Download(CAJ format) Download(PDF format)
CAJViewer7.0 supports all the CNKI file formats; AdobeReader only supports the PDF format.
【Citations】
Chinese Journal Full-text Database 7 Hits
1 Wang Dacheng1,2,Zhang Dongyan2,Li Yufei1,Qin Qiming1,Wang Jihua2,Fan Wenjie1,Chen Shilin3(1.RS and GIS Institute of Peking University,Beijing 100871,China;2.National Engineering Research Center for Information Technology in Agriculture,Beijing 100097,China;3.Xinjiang Vocational and Technical College,Wulumuqi 830000,China);Monitoring wheat quality based on HJ1A/B remote sensing data and ecological factors[J];红外与激光工程;2013-03
2 Tan Changwei1,Wang Jihua2,Huang Wenjiang2,Wang Junchan1,Zhu Xinkai1,Guo Wenshan1※(1.Key Laboratory of Crop Genetics and Physiology of Jiangsu Province/Key Laboratory of Crop Physiology,Ecology and Cultivation in Middle and Lower Reaches of Yangtse River of Ministry of Agriculture,Yangzhou University,Yangzhou 225009,China;2.National Engineering Research Center for Information Technology in Agriculture,Beijing 100089,China);Predicting grain protein content in winter wheat based on TM images and partial least squares regression[J];农业工程学报;2011-03
3 JIANG Zhi-Wei1,WU Xue-Ping2,HUA Luo1,CAI Dian-Xiong2,PANG Huan-Cheng2,WU Hui-Jun2,JIANG Tao3,ZHENG Yan2,LI Yin-Kun21 The College of Resources Environment and Tourism,Capital Normal University,Beijing 100048,China2 Institute of Agricultural Resources and Regional Planning,Chinese Academy of Agricultural Sciences,Beijing 100081,China3 Institute of Geochemistry Chinese Academy of Sciences,Guiyang 550002,China;Long-period quantitative simulation and evaluation of summer maize potential productivity in Luoyang dryland[J];生态学报;2009-01
4 CONG Zhentao,WANG Shuzhan,NI Guangheng(State Key Laboratory of Hydroscience and Engineering,Department of Hydraulic Engineering,Tsinghua University,Beijing 100084,China);Simulations of the impact of climate change on winter wheat production[J];清华大学学报(自然科学版);2008-09
5 LI Ying-xue, ZHU Yan, TIAN Yong-chao, YOU Xiao-tao, ZHOU Dong-qin, CAO Wei-xing (Hi-Tech Key Laboratory of Information Agriculture, Jiangsu Province/ Nanjing Agricultural University/ Key Laboratory of Crop Growth Regulation, Ministry of Agriculture, Nanjing 210095);Relationship of Grain Protein Content and Relevant Quality Traits to Canopy Reflectance Spectra in Wheat[J];中国农业科学;2005-07
6 FAN Xue-Mei JIANG Dong DAI Ting-Bo JING Qi and CAO Wei-Xing (Key Laboratory of Crop Growth Regulation, MOA, Nanjing Agricultural University, Nanjing 210095, China);EFFECTS OF POST-ANTHESIS DROUGHT AND WATERLOGGING ON THE QUALITY OF GRAIN FORMATION IN DIFFERENT WHEAT VARIETIES[J];植物生态学报;2004-05
7 WANG Ji-hua, HUANG Wen-jiang, ZHAO Chun-jiang, YANG Min-hua, WANG Zhi-jie (National Engineering Research Center for Information Technology in Agriculture, Beijing 100089, China);The Inversion of Leaf Biochemical Components and Grain Quality Indicators of Winter Wheat with Spectral Reflectance[J];遥感学报;2003-04
【Co-citations】
Chinese Journal Full-text Database 10 Hits
1 ZHA Yan;WU Xue-ping;ZHANG Hui-min;CAI Dian-xiong;ZHU Ping;GAO Hong-jun;Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences,National Engineering Laboratory for Improving Quality of Arable Land;Institute of Agricultural Resources and Environment,Jilin Academy of Agricultural Sciences;;Effects of Long-Term Organic and Inorganic Fertilization on Enhancing Soil Organic Carbon and Basic Soil Productivity in Black Soil[J];中国农业科学;2015-23
2 LIU Yanjie;LI Jianshe;GAO Yanming;Aguicultural College,Ningxia University;;Correlation Between Lettuce Leaf Spectral Reflectance in Visible Light Area and Leaf Nitrogen Content and Leaf Chlorophyll Content Under Different Levels of Nitrogen[J];北方园艺;2015-22
3 Lu Jingqi;Cui Yaoping;Zhang Shuaishuai;Min Min;Feng Tianwei;Collaborative Innovation Center on Yellow River Civilization/College of Environment and Planning,Henan University;The Center for Yellow River Civilization and Sustainable Development of Henan University;;Simulation of Irrigation, Fertilization and CO_2 Concentration on Winter Wheat Yield Under the Background of Global Climate Change[J];中国农学通报;2015-33
4 DING Jinfeng;ZHU Xinkai;WANG Junchan;ZHANG Xudong;TANG Changwei;LI Chunyan;GUO Wenshan;Jiangsu Key Laboratory of Crop Genetics and Physiology/Co-Innovation Center for Modern Production Technology of Grain Crops,Yangzhou University;Yangzhou Wheat Research Institute,Yangzhou University,Yangzhou University;;Remote Sensing Prediction of Grain Protein Content in Medium and Weak Gluten Spring Wheat Using Satellite Image at Anthesie[J];云南农业大学学报(自然科学);2015-06
5 TAN Chang-wei;LUO Ming;YANG Xin;MA Chang;YAN Xiang;ZHOU Jian;DU Ying;WANG Ya-nan;Jiangsu Key Laboratory of Crop Genetics and Physiology, Yangzhou University/Co-Innovation Center for Modern Production Technology of Grain Crops;;Remote Sensing Estimation of Winter Wheat Theoretical Yield on Regional Scale Using Partial Least Squares Regression Algorithm Based on HJ-1A/1B Images[J];中国农业科学;2015-20
6 Yang Fuqin;Feng Haikuan;Li Zhenhai;Jin Xiuliang;Yang Guijun;Dai Huayang;College of Geoscience and Surveying Engineering,China University of Mining and Technology;National Engineering Research Center for Information Technology in Agriculture;Key Laboratory for Information Technologies in Agriculture,Ministry of Agriculture;Beijing Engineering Research Center of Agricultural Internet of Things;;Estimation of Leaf Area Index of Winter Wheat Based on Akaike's Information Criterion[J];农业机械学报;2015-11
7 SONG Xin;SUN Min;GAO Zhiqiang;REN Aixia;ZHAO Hongmei;LI Guang;HAO Xingyu;YANG Zhenping;ZONG Yuzheng;College of Agriculture,Shanxi Agricultural University;;Effects of Mulching in Fallow Period and Phosphorus Application on Grain Protein Accumulation in Dryland Wheat[J];激光生物学报;2015-04
8 Tan Changwei;Luo Ming;Yang Xin;Ma Chang;Zhou Jian;Du Ying;Wang Ya'nan;Jiangsu Key Laboratory of Crop Genetics and Physiology/Co-Innovation Center for Modern Production Technology of Grain Crops,Yangzhou University;;Remote sensing estimation of wheat practical yield on regional scale using partial least squares regression algorithm based on HJ-1A/1B images[J];农业工程学报;2015-15
9 XIAO Chun-hua;LU Yin-liang;DIAO Wan-ying;LI Shao-kun;WANG Ke-ru;CHEN Bing;WANG Qiong;Agronomy College,Shihezi University,Key Laboratory of Oasis Ecology Agriculture of Xinjiang Construction Group;Institute of Crop Science,Chinese Academy of Agricultural Sciences,Key Laboratory of Crop Physiology and Ecology,Ministry of Agriculture;Institute of Cotton,Xinjiang Academy of Agricultural Reclamation Sciences;;Monitoring nitrogen content of wheat on basis of an algorithm on the spectral angle of canopy[J];干旱地区农业研究;2015-04
10 LI Shuan-ming;GUO Yin-qiao;WANG Ke-ru;XIE Rui-zhi;DAI Jian-guo;XIAO Chun-hua;LI Jing;LI Shao-kun;Institute of Crop Science, Chinese Academy of Agricultural Sciences;College of Information Science and Technology, Shihezi University;Geospatial Information Engineering Research Center, Xinjiang Production and Construction Corps;Key Laboratory of Oasis Ecology Agriculture of Shihezi University;;Research on Variable Selection of Wheat Kernel Protein Content with Near-Infrared Spectroscopy[J];中国农业科学;2015-12
【Secondary Citations】
Chinese Journal Full-text Database 10 Hits
1 Jing Xia 1 ,Huang Wenjiang 2 ,Ju Cunyong 3 ,Xu Xingang 2 , (1.College of Geomatics,Xi’an University of Science and Technology,Xi’an 710054,China; 2.National Engineering Research Center For Information Technology In Agriculture,Beijing 100097,China; 3.College of Forestry,Northeast Forestry University,Harbin 150040,China);Remote sensing monitoring severity level of cotton verticillium wilt based on partial least squares regressive analysis[J];农业工程学报;2010-08
2 Wang Dacheng1,2,Li Cunjun2,Song Xiaoyu2,Wang Jihua1,2,Huang Wenjiang2,Wang Junying3,Zhou Jihong3,Huang Jingfeng1(1.Institute of Agricultural Remote Sensing and Information Technology,Zhejiang University,Hangzhou 310029,China;2.National Engineering Research Center for Information Technology in Agriculture,Beijing 100097,China;3.Agricultural Technology Extension Station in Beijing,Beijing 100097,China);Analysis of identifying important ecological factors influencing winter wheat protein content based on artifical neural networks[J];农业工程学报;2010-07
3 Song Xiaoyu 1,2,Wang Jihua 1,3,Huang Wenjiang 1,Yan Guangjian 2,Chang Hong 3(1.National Engineering Research Center for Information Technology in Agriculture,Beijing 100097,China;2.College of Geography/Research Center for Remote Sensing and GIS,Beijing Normal University,Beijing 100875,China;3.Beijing Research Center for Agrifood Testing and Farmland Monitoring,Beijing 100097,China);Monitoring spatial variance of winter wheat growth and grain quality under variable-rate fertilization conditions by remote sensing data[J];农业工程学报;2009-09
4 Dai Minghong, Tao Hongbin, Liao Shuhua, Wang Lina, Wang Pu (College of Agronomy and Biotechnology, China Agricultural University, Beijing 100094, China);Estimation and analysis of maize potential productivity based on CERES-Maize model in the North China Plain[J];农业工程学报;2008-04
5 WANG Ji-hua1,HUANG Wen-jiang1,LAO Cai-lian2,ZHANG Lu-da2,LUO Chang-bing3,WANG Tao2,LIU Liang-yun1,SONG Xiao-yu1,MA Zhi-hong11.National Engineering Research Center for Information Technology in Agriculture,Beijing 100097,China2.China Agricultural University,Beijing 100094,China3.Research Center for Shinonglüfang,Beijing 100094,China;Inversion of Winter Wheat Foliage Vertical Distribution Based on Canopy Reflected Spectrum by Partial Least Squares Regression Method[J];光谱学与光谱分析;2007-07
6 WANG Yuan-yuan, CHEN Yun-hao, LI Jing, JIANG Jin-bao(College of Resources Science, Beijing Normal University, Beijing 100875, China);THE APPLICATION OF PARTIAL LEAST SQUARE TO THE INVERSION OF SEVERITY OF WINTER WHEAT STRIPE RUST DISEASE[J];国土资源遥感;2007-01
7 Huang Wenjiang~(1,2), Zhao Chunjiang~1, Wang Jihua~1, Wang Jindi~2, Ma Zhihong~1 (1.National Engineering Research Center for Information Technology in Agriculture, Beijing 100089, China; 2.Research Center for Remote Sensing and GIS, School of Geography, Beijing Normal University, Beijing 100875, China);Application of red edge variables to nutrition diagnosis and grain quality forecast of winter wheat[J];农业工程学报;2004-06
8 Zhao Junye Yu Zhenwen (Key Laboratory of Wheat Cultivation Physiology & Genetic Improvement, Ministry of Agriculture, Shandong Agricultural University, Taian 271018);Primary Study on Relations between Starch Quality and Protein Quality in Winter Wheat[J];中国粮油学报;2004-04
9 HUANG Wen-jiang, WANG Ji-hua, LIU Liang-yun, ZHAO Chun-jiang,SONG Xiao-yu, MA Zhi-hong(National Engineering Research Center for Information Technology inAgriculture, Beijing 100089, China);Study on Grain Quality Effecting Factors and Monitoring Methods by Using Hyperspectral Data in Winter Wheat[J];遥感技术与应用;2004-03
10 ZHAO Xiang, LIU Su-hong, WANG Pei-juan, WANG Jin-di, TIAN Zhen-kun (Research Center for Remote Sensing and GIS, School of Geography, Beijing Normal University, Beijing 100875; s, Beijing 100875, China);A Method for Inverting Chlorophyll Content of Wheat Using Hyperspectral[J];地理与地理信息科学;2004-03
©2006 Tsinghua Tongfang Knowledge Network Technology Co., Ltd.(Beijing)(TTKN) All rights reserved