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Accurate identification of nitrogen fertilizer application of paddy rice using laser-induced fluorescence combined with support vector machine

Author

Listed:
  • J. Yang

    (StateKey Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, P.R. China)

  • W. Gong

    (StateKey Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, P.R. China
    Collaborative Innovation Center of Geospatial Technology, Wuhan, P.R. China)

  • S. Shi

    (StateKey Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, P.R. China
    Collaborative Innovation Center of Geospatial Technology, Wuhan, P.R. China
    China School of Resource and Environmental Sciences, Wuhan University, Wuhan, P.R. China)

  • L. Du

    (StateKey Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, P.R. China)

  • J. Sun

    (StateKey Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, P.R. China)

  • Y.-Y. Ma

    (StateKey Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, P.R. China
    Collaborative Innovation Center of Geospatial Technology, Wuhan, P.R. China)

  • S.-L. Song

    (Wuhan Institute of Physics and Mathematics, Chinese Academy of Sciences, Wuhan, P.R. China)

Abstract

To identify accurately the doses of nitrogen (N) fertilizer and improve the photosynthetic efficiency of paddy rice, laser induced fluorescence (LIF) technique combined with the support vector machine (SVM) and principal component analysis (PCA) is proposed in this paper. The LIF technology, in which the ultraviolet light (355 nm) is applied as an excitation light source, is employed to measure fluorescence spectra of paddy rice. These fluorescence spectra demonstrate that the fluorescence spectral characteristics of paddy rice leaves with different doses of N fertilizer have distinct differences from each other. Then, PCA and SVM are implemented to extract the features of fluorescence spectra and to recognize different doses of N fertilizer, respectively. The overall recognition accuracy can reach 95%. The results show that the LIF technology combined with PCA and SVM is a convenient, rapid, and sensitive diagnostic method for detecting N levels of paddy rice. Thus, it will also be convenient for farmers to manage accurately their fertilization strategies.

Suggested Citation

  • J. Yang & W. Gong & S. Shi & L. Du & J. Sun & Y.-Y. Ma & S.-L. Song, 2015. "Accurate identification of nitrogen fertilizer application of paddy rice using laser-induced fluorescence combined with support vector machine," Plant, Soil and Environment, Czech Academy of Agricultural Sciences, vol. 61(11), pages 501-506.
    • Handle: RePEc:caa:jnlpse:v:61:y:2015:i:11:id:496-2015-pse
    DOI: 10.17221/496/2015-PSE
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    References listed on IDEAS

    as
    1. J. Yang & S. Shi & W. Gong & L. Du & Y.Y. Ma & B. Zhu & S.L. Song, 2015. "Application of fluorescence spectrum to precisely inverse paddy rice nitrogen content," Plant, Soil and Environment, Czech Academy of Agricultural Sciences, vol. 61(4), pages 182-188.
    2. M. Živčák & K. Olšovská & P. Slamka & J. Galambošová & V. Rataj & H.B. Shao & M. Brestič, 2014. "Application of chlorophyll fluorescence performance indices to assess the wheat photosynthetic functions influenced by nitrogen deficiency," Plant, Soil and Environment, Czech Academy of Agricultural Sciences, vol. 60(5), pages 210-215.
    3. Jacob F. Sherson & Christof Weitenberg & Manuel Endres & Marc Cheneau & Immanuel Bloch & Stefan Kuhr, 2010. "Single-atom-resolved fluorescence imaging of an atomic Mott insulator," Nature, Nature, vol. 467(7311), pages 68-72, September.
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