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杨健--Laser Induced Fluorescence Spectrum Characteristics of Paddy under Nitrogen Stress

发布日期:2016-12-01 09:49:12 阅读次数:[2293]次 作者:

核心提示:来源出版物: SPECTROSCOPY AND SPECTRAL ANALYSIS

作者: Yang, J (Yang Jian); Shi, S (Shi Shuo); Gong, W (Gong Wei); Du, L (Du Lin); Zhu, B (Zhu Bo); Ma, YY (Ma Ying-ying); Sun, J (Sun Jia)
来源出版物: SPECTROSCOPY AND SPECTRAL ANALYSIS  卷: 36  期: 2  页: 537-540  DOI: 10.3964/j.issn.1000-0593(2016)02-0537-04  出版年: FEB 2016
摘要: Order toguide fertilizing andreduce waste of resources as well as enviro nmental pollution, especially eutrophication, which are caused by excessive fertilization, a system of laser -induced fluorescence(LIF) was built. The system aimed to investigate the correlation between nitrogen(N) content of paddy leaf and the fluorescence intensity. We measuredNcontent and SPAD of paddy leaf (the samples came from the second upper leaves of paddy in tillering stage and the study area was located in Jianghan plain of China) by utilizing the Plant Nutrient (Tester TYS-3N). The fluorescence spectrum was also obtained by using the systembuilt based on theLlFtechnology. Fluorescence spectra of leaf with different N -content were collected and then a fluorescence spectra database wasestablished. It is analyzed that the relationship between the parameters of fluorescence (F-740/F-685 is the ratio of fluorescence intensity of 740 nm dividing that of 685 nm) and the N level of paddy. It is found that the effect of different N -content on the fluorescence spectrum characteristics is significant. The experiment demonstrated the positive correlation between fluorescence parameters and paddy leaf N -content. Results showed a positive linear correlation between the ratio of peak fluorescence (F-740/F-685) and N-content. The correlation coefficient (r) reached 0. 871 8 and the root mean square error (RMSE) was 0. 076 82. The experiment demonstrated that LIF spectroscopy detection technology has the advantages of rapidand non-destructive measurement, and it also has the potential to measure plant content of nutrient elements. It will provide a more accurate remote sensing method to rapidly detect the crop nitrogen levels. 


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