期刊文献+

基于叶片光谱透过特性的植物氮素测定 被引量:15

Plant nutrition indices using leaf spectral transmittance for nitrogen detection
下载PDF
导出
摘要 该文通过不同施氮水平下营养液栽培的水稻和黄瓜叶片在300~1100nm的分光光谱透过率,与其叶绿素含量和含氮量的相关性分析,确定了560、650和720nm作为特征波长,940nm作为参比波长可用于植物营养的快速无损诊断。以上述波长的光谱透过率构建的21组光谱特征参数中,(T940-T560)/(T940+T560)、log(T940/T560)和log(T940/T650)与水稻和黄瓜叶片的叶绿素含量和含氮量的相关性较好,且经回归估测检验的相对误差均小于8%。因此,上述光谱特征参数可作为植物氮素营养指标用于植物叶片的叶绿素含量和含氮量的快速无损估测,从而为植物营养无损诊断提供技术支持。 Spectral transmittances in wavelength ranged from 300 to 1100 nm of rice and cucumber leaves treated with culture solution in five different nitrogen levels were measured in this study. The correlated relationships between the above spectral transmittances and their chlorophyll contents and nitrogen contents indicated that the 560, 650, and 720 nm as feature wavelength and 940 nm as reference wavelength were useful for plant nutrient diagnosis. Correlation analysis and their regression examination between 21 spectral feature parameters composed by the transmittances at above wavelength, and the leaf chlorophyll contents and nitrogen contents showed that spectral feature parameters of (T940-T560)/(T940+T560), log(T940/T560) and log(T940/T650) were available for plant nutrient diagnosis with less than 8% relative error in measurement tests of rice and cucumber leaves. Therefore, the above spectral feature parameters as plant nitrogen indices can be used to estimate the chlorophyll content and nitrogen content and thus support for nondestructive plant nutrient detection.
出处 《农业工程学报》 EI CAS CSCD 北大核心 2011年第4期214-218,I0006,共6页 Transactions of the Chinese Society of Agricultural Engineering
基金 国家科技部863面上项目(2006AA10Z206)
关键词 叶绿素含量 含氮量 光谱特征参数 分光光谱透过率 无损检测 chlorophyll content nitrogen content spectral feature parameter spectral transmittance nondestructive detection
  • 相关文献

参考文献20

  • 1曾希柏,李菊梅.中国不同地区化肥施用及其对粮食生产的影响[J].中国农业科学,2004,37(3):387-392. 被引量:88
  • 2Ju Xiaotang, Xing Guangxi, Chen Xinping, et al. Reducing environmental risk by improving N management in intensive Chinese agricultural systems [J]. Proceedings of the National Academy of Science, 2009, 106(9): 3041 - 3046.
  • 3张福锁,李春剑.土壤与植物营养研究新动态(第四卷)[M].北京:中国农业大学出版社,2001:42-48.
  • 4焦雯珺,闵庆文,林焜,朱清科,张建军.植物氮素营养诊断的进展与展望[J].中国农学通报,2006,22(12):351-355. 被引量:30
  • 5Thomas J R, Oerther G F. Estimating nitrogen content of sweet pepper leaves by reflectance measurements [J]. Agronomy Journal, 1972, 64(1): 11 - 13.
  • 6Filella I, Serra L, Penuelas J, et al. Evaluating wheat nitrogen status with canopy reflectance indices and discriminant analysis[J]. Crop Science, 1995, 35(5): 1400- 1405.
  • 7吴长山,童庆禧,郑兰芬,刘伟东.水稻、玉米的光谱数据与叶绿素的相关分析[J].应用基础与工程科学学报,2000,8(1):31-37. 被引量:41
  • 8Daughtry C S T, Walthall C L, Kim M S, et al. Estimating corn leaf chlorophyll concentration from leaf and canopy reflectance[J]. Remote Sensing Environment, 2000, 74(2): 229-239.
  • 9Pu R, Gong P, Biging G Set al. Extraction of red edge optical parameters from Hyperion data for estimation of forest leaf area index[J]. IEEE Transactions on Geoscience and Remote Sensing, 2003, 41(4): 916-921.
  • 10Watanabe Shigeru, Kuzunuki Tatsuo. Method of and device for measuring chlorophyll of living leaves [P]. Japan, 4 295 042, 1981-10-13.

二级参考文献123

共引文献363

同被引文献171

引证文献15

二级引证文献74

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部