| 光谱学与光谱分析 |
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| Laser Induced Fluorescence Spectrum Characteristics of Paddy under Nitrogen Stress |
| YANG Jian1, SHI Shuo1, 2, 3*, GONG Wei1, 2, DU Lin1, 4, ZHU Bo1, MA Ying-ying1, 2, SUN Jia1 |
| 1. State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079，China2. Collaborative Innovation Center of Geospatial Technology, Wuhan 430079, China3. School of Resource and Environmental Sciences, Wuhan University, Wuhan 430079, China4. School of Physics and Technology, Wuhan University, Wuhan 430072, China |
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Abstract 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 theLIFtechnology. 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 (F740/F685 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 (F740/F685) 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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Received: 2014-12-19
Accepted: 2015-04-14
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Corresponding Authors:
SHI Shuo
E-mail: shishuo@whu.edu.cn
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