[1]宋英博.不同施氮水平下大豆反射光谱预测叶片氮含量模型[J].大豆科学,2010,29(04):641-644.[doi:10.11861/j.issn.1000-9841.2010.04.0641]
 SONG Ying-bo.Predicting Model of Soybean Leaf Nitrogen Content by Leaf Reflectance Spectra under Different Nitrogen Supply Levels[J].Soybean Science,2010,29(04):641-644.[doi:10.11861/j.issn.1000-9841.2010.04.0641]
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不同施氮水平下大豆反射光谱预测叶片氮含量模型

参考文献/References:

[1]Blackmer T M, Schepers J S. Techniques for monitoring crop nitrogen status in corn [J]. Communications in Soil Science and Plant Analysis, 1994, 25: 1791- 1800.

[2]Blackmer T M, Schepers J S. Varvel G E, et al. Nitrogen deficiency detection using reflected shortwave radiation from irrigated corn canopies[J]. Agronomy Journal, 1996, 88: 1- 5.

[3]薛利红, 曹卫星, 罗卫红,. 基于冠层反射光谱的水稻群体叶片氮素状况监测[J]. 中国农业科学, 2003,36(7): 807- 812. (Xue L H, Cao W X ,Luo W H, et al. Diagnosis of nitrogen status in rice leaves with the canopy spectral reflectance [J]. Scientia Agricultura Sinica, 2003,36(7):807-812.)

[4]刘占宇, 黄敬峰, 王福民,. 估算水稻叶面积指数的调节型归一化植被指数[J]. 中国农业科学, 2008,41(10):3350-3356.(Liu Z J, Huang J F, Wang F M ,et al. Adjusted-normalized difference vegetation index for estimating leaf area index of rice [J].Scientia Agricultura Sinica, 2008,41(10):3350-3356.)

[5]冯伟, 姚霞, 田永超, . 小麦籽粒蛋白质含量高光谱预测模型研究[J]. 作物学报, 2007, 33(12):1935-1942.(Feng W,Yao X,Tian Y C, et al. Predicting grain protein content with canopy hyperspectral remote sensing in wheat [J]. Acta Agronomica Sinica, 2007, 33(12):1935-1942.)

[6]姚霞, 朱艳, 田永超,. 小麦叶层氮含量估测的最佳高光谱参数研究[J] .中国农业科学, 2009,42(8):2716-2725.(Yao X ,Zhu Y, Tian Y C, et al. Research of the optimum hyperspectral vegetation indices on monitoring the nitrogen content in wheat leaves [J]. Scientia Agricultura Sinica , 2009 , 42 (8) : 2716 - 2725.)

[7]宋开山,张柏,王宗明 ,. 大豆叶绿素含量高光谱反演模型研究[J]. 农业工程学报, 2006, 22 (8): 16- 21. (Song K S,Zhang B,Wang Z M,et al. Inverse model for estimating soybean chlorophyll concentration using in-situ collected canopy hyperspectral data[J]. Transactions of the Chinese Society of Agricultural Engineering, 2006, 22(8): 16-21.)

[8]宋开山,张柏,王宗明,. 基于人工神经网络的大豆叶面积高光谱反演研究[J]. 中国农业科学, 2006, 39(6):1138-1145.(Song K S, Zhang B, Wang Z M , et al. Soybean LAI estimation with insitu collected hyperspectral data based on BPneurai networks [J]. Scientia Agricultura Sinica, 2006,39(6):1138-1145.)

[9]吴华兵,朱艳,田永超,. 棉花冠层高光谱指数与叶片氮积累量的定量关系[J]. 作物学报, 2007, 33(3):518- 522. (Wu H B,Zhu Y ,Tian Y C, et al. Relationship between canopy hyperspectral index and leaf nitrogen accumulation in cotton[J]. Acta Agronomica Sinica,2007,33(3): 518- 522.)

[10]薛利红, 曹卫星, 罗卫红, .小麦叶片氮素状况与光谱特性的相关性研究[J]. 植物生态学报, 2004, 28 (2):172-177.(Xue L H, Cao W X, Luo W H, et al. Correlation between leaf nitrogen status and canopy spectral characteristics in wheat[J]. Acta Phytoecologica Sinica, 2004, 28(2): 172-177.)


备注/Memo

基金项目:黑龙江省国际合作资助项目(WB08C07)。

作者简介:宋英博(1979-),男,硕士,研究方向为植物营养。E-mail: hjsyb@tom.com。

更新日期/Last Update: 2014-09-14