Estimation of nitrogen content based on fluorescence spectrum and principal component analysis in paddy rice
文献类型:期刊论文
作者 | Yang, J.1; Gong, W.1,2; Shi, S.1,2,3; Du, L.1,4; Sun, J.1; Song, S. -L.5 |
刊名 | PLANT SOIL AND ENVIRONMENT
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出版日期 | 2016 |
卷号 | 62期号:4页码:178-183 |
关键词 | remote sensing Oryza sativa macroelement environmental pollution leaf nitrogen content |
英文摘要 | Paddy rice is one of the most important cereal crops in China. Nitrogen (N) is closely related to crops production by influencing the photosynthetic efficiency of paddy rice. In this study, laser-induced fluorescence (LIF) technology with the help of principal component analysis (PCA) and back-propagation neural network (BPNN) is proposed to monitor leaf N content (LNC) of paddy rice. The PCA is utilized to extract the characteristic variables of LIF spectra by analysing the major attributes. The results showed that the first three principal components (PCs) can explain 95.76% and 93.53% of the total variance contained in the fluorescence spectra for tillering stage and shooting stage, respectively. Then, BPNN was utilized to inverse the LNC on the basis of the first three PCs as input variables and can obtain the satisfactory inversion results (R-2 of tillering stage and shooting stage are 0.952 and 0.931, respectively; residual main range from -0.2 to 0.2 mg/g). The experimental results demonstrated that LIF technique combined with multivariate analysis will be a useful method for monitoring the LNC of paddy rice, which can provide consultations for the decision-making of peasants in their N fertilization strategies. |
WOS标题词 | Science & Technology ; Life Sciences & Biomedicine |
类目[WOS] | Agronomy |
研究领域[WOS] | Agriculture |
关键词[WOS] | LASER-INDUCED FLUORESCENCE ; CHLOROPHYLL FLUORESCENCE ; GREEN PLANTS ; IDENTIFICATION ; WHEAT ; DEFICIENCY ; LEAF ; PHOTOSYNTHESIS ; PERFORMANCE ; REFLECTANCE |
收录类别 | SCI |
语种 | 英语 |
WOS记录号 | WOS:000378149000005 |
源URL | [http://ir.wipm.ac.cn/handle/112942/9412] ![]() |
专题 | 武汉物理与数学研究所_高技术创新与发展中心 |
作者单位 | 1.Wuhan Univ, State Key Lab Informat Engn Surveying Mapping & R, 129 Luoyu Rd, Wuhan 430079, Peoples R China 2.Collaborat Innovat Ctr Geospatial Technol, 129 Luoyu Rd, Wuhan 430079, Peoples R China 3.Wuhan Univ, Sch Resource & Environm Sci, 129 Luoyu Rd, Wuhan 430079, Peoples R China 4.Wuhan Univ, Sch Phys & Technol, Wuhan 430079, Peoples R China 5.Chinese Acad Sci, Wuhan Inst Phys & Math, Wuhan, Peoples R China |
推荐引用方式 GB/T 7714 | Yang, J.,Gong, W.,Shi, S.,et al. Estimation of nitrogen content based on fluorescence spectrum and principal component analysis in paddy rice[J]. PLANT SOIL AND ENVIRONMENT,2016,62(4):178-183. |
APA | Yang, J.,Gong, W.,Shi, S.,Du, L.,Sun, J.,&Song, S. -L..(2016).Estimation of nitrogen content based on fluorescence spectrum and principal component analysis in paddy rice.PLANT SOIL AND ENVIRONMENT,62(4),178-183. |
MLA | Yang, J.,et al."Estimation of nitrogen content based on fluorescence spectrum and principal component analysis in paddy rice".PLANT SOIL AND ENVIRONMENT 62.4(2016):178-183. |
入库方式: OAI收割
来源:武汉物理与数学研究所
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