科研之友
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摘要
Potassium in organic fertilizer can be determined by near infrared (NIR) spectral technique, because the spectra are related to the organic groups with NIR absorption. A method for the, determination of potassium iron (K+) in organic fertilizer samples was established based on the combination of discrete wavelet transform (DWT) and NIR technique. In the proposed method, the raw NIR data and their wavelet coefficients are used for modeling and prediction of the contents of potassium in organic fertilizer by partial least square (PLS) method. It is shown that there is almost no loss of spectral information with the NIR data compressed to 3.6% of its original size. The model based on wavelet coefficients is better than that based on the full NIR spectral range. With the improved method, accurate prediction can be achieved.
