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Raman spectroscopy was first adopted for rapid detecting a hazardous substance of lead chrome green in tea, which was illegally added to tea to disguise as high-quality. 160 samples of tea infusion with different concentrations of lead chrome green were prepared for Raman spectra acquirement in the range of 2804 cm(-1)-230 cm(-1) and the spectral(More)
A total of 180 samples from six varieties of typical tea (30 for each variety) were collected for hyperspectral image classification. The first 2 principal components (PCs) explained over 97% of variances of all spectral information. Gray-level co-occurrence matrix (GLCM) analysis was implemented on the 2 principal component (PC) images to extract 24(More)
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