Determination of dry matter content of tea by near and middle infrared spectroscopy coupled with wavelet-based data mining algorithms
NIR and MIR were successfully used for measurement of dry matter content of tea. Wavelet feature could be used to substitute the original spectra. Wavelet parameters were significant for R2 and RMSE of determination model. The feature optimization of WPTSA was useful for spectral analysis.
dry matter content tea near and middle infrared spectroscopy wavelet packet transform kernel principal component analysis