Spectral reflectance-based detection of nitrogen content in fresh tea leaves

Yongguang Hu; Pingping Li; Hanping Mao; Bin Chen; Yu Ding

doi:10.1117/12.697772

11 December 2006 Spectral reflectance-based detection of nitrogen content in fresh tea leaves

Yongguang Hu, Pingping Li, Hanping Mao, Bin Chen, Yu Ding

Proceedings Volume 6411, Agriculture and Hydrology Applications of Remote Sensing; 64110G (2006) https://doi.org/10.1117/12.697772
Event: SPIE Asia-Pacific Remote Sensing, 2006, Goa, India

Abstract

The method of visible and near infrared reflectance spectroscopy is adopted to analyze relative nitrogen content inside fresh tea leaves because it is fast and non-destructive. The spectroradiometer, FieldSpec 3 is used to acquire the spectral reflectance of fresh tea leaves in the field, and the relative value of nitrogen content inside fresh tea leaves are measured with the chlorophyll meter, SPAD 502. About 150 leaves are sampled, which cover the wide range of relative nitrogen content from 20 to 90. A software NIRSA is used to process the spectra data. The preprocessing of spectra includes the second derivative of reflectance with the gap of 25 points and smoothing with Savitzky-Golay filter for removing spectra noise. And the normalizing operation is not done because the variation of sunlight optical path could be ignored. 122 samples are used to establish the calibration model with the method of PLS regression, and multiple correlation coefficient is 0.7301 and RMSEC is 10.0781. The prediction model is established with the prediction set made up of 13 samples and the correlation coefficient is 0.8992 and RMSEP is 10.698. Spectral reflectance-based detection of nitrogen content or chlorophyll in fresh tea leaves is applicable.

Citation Download Citation

Yongguang Hu, Pingping Li, Hanping Mao, Bin Chen, and Yu Ding "Spectral reflectance-based detection of nitrogen content in fresh tea leaves", Proc. SPIE 6411, Agriculture and Hydrology Applications of Remote Sensing, 64110G (11 December 2006); https://doi.org/10.1117/12.697772

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