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Proceedings Paper

Nitrogen stress measurement of canola based on NIR spectroscopy
Author(s): Yongni Shao; Yong He
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Paper Abstract

The spectral analysis technique based on the spectral reflected property to identify object make the real time inspection of crop nutrition and fast diagnoses come true. Compared with the conventional means of crop nutrition fast diagnoses, the information acquired by spectral analysis technique is faster and save both time and labor, it is the basic technique adopted in the precision agriculture which needs to do research on variable fertilization and irrigation. Using spectral analysis technique to process crop nutrition real time inspection and fast diagnoses is always the popular research in remote sensing in agriculture. In this paper, in order to find a simple, quick and untouched method to check the level of nitrogen in canola, the spectral reflectance and SPAD values of the canola leaves of eight regions were measured by an ASD Field Spec(R) and SPAD 502 chlorophyll meter. Experiment was made on the leaves taken from live canola, and the relationship between spectral reflectivity and chlorophyll concentration was analyzed. 32 groups of the chlorophyll concentration data and the reflected spectra data corresponding to them were acquired, also the correlation between red edge inflexion point position and chlorophyll concentration was analyzed, and the coefficient of 0.986 was got. The mathematic model between the first derivative of absorption spectra and chlorophyll concentration was established, and the coefficient of 0.873 was got. Therefore it indicated more that it is possible to use the hyper-spectroscopy remote sensing to explore the chlorophyll concentration of canola in ration.

Paper Details

Date Published: 27 October 2006
PDF: 7 pages
Proc. SPIE 6047, Fourth International Conference on Photonics and Imaging in Biology and Medicine, 604729 (27 October 2006); doi: 10.1117/12.710936
Show Author Affiliations
Yongni Shao, Zhejiang Univ. (China)
Yong He, Zhejiang Univ. (China)

Published in SPIE Proceedings Vol. 6047:
Fourth International Conference on Photonics and Imaging in Biology and Medicine
Kexin Xu; Qingming Luo; Da Xing; Alexander V. Priezzhev; Valery V. Tuchin, Editor(s)

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