A hybrid k-harmonic clustering method for near-infrared spectroscopy classification of apple varieties
A technology of near-infrared spectroscopy and classification methods, applied in the field of apple variety classification based on hybrid K-harmonic clustering method and near-infrared spectroscopy technology, can solve the problems of low classification accuracy and difficulty in realizing correct fruit classification, and achieve high accuracy , Fast detection speed and high efficiency
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[0037] Step 1: Take three kinds of apple samples: Red Fuji, Huaniu, and Ghana, 50 samples of each apple. The apple samples were stored in the laboratory at a temperature of 20-25°C for 12 hours, and the Antaris II near-infrared spectrum analyzer was turned on and preheated for 1 hour. The near-infrared spectrum of apples was collected in reflection integrating sphere mode, and the near-infrared spectrum analyzer scanned each sample 32 times to obtain the average diffuse reflectance spectrum of the sample. The wavenumber of spectral scanning is 10000~4000cm-1, and the scanning interval is 3.856cm-1. The collected spectrum of each sample is 1557-dimensional data. In order to reduce the error, each apple sample was sampled three times along the equatorial trajectory, and the average value was taken as the final experimental data. Near-infrared spectra of 150 apple samples such as figure 2 shown.
[0038] Step 2: Dimensionality reduction processing of the near-infrared spectru...
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