Quick edible oil variety identification method based on multisource spectral feature fusion
A technology of spectral characteristics and edible oil, applied in the direction of material analysis, measuring devices, instruments, etc. through optical means, can solve the problems of infringing on the interests of consumers and legitimate production and sales enterprises, achieve strong practical value and promotion value, and convenient detection , generalization ability and strong predictive ability
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[0040] 1. Sample selection
[0041] A total of 157 edible oil samples of soybean oil, peanut oil, rapeseed oil, tea seed oil, rice oil, corn oil, sunflower oil, and olive oil were collected, and the calibration set samples of edible oil were selected by using the SPXY algorithm at a ratio of 3:1 118 samples and 39 edible oil prediction set samples, among which the edible oil calibration set samples were used to optimize the establishment of the qualitative model, and the edible oil prediction set samples were used to optimize the performance verification of the qualitative model; among them, the prediction set samples of 8 types of edible oil samples And the distribution of the number of samples in the calibration set is shown in Table 1.
[0042] Table 1
[0043] type serial number prediction set Calibration set Subtotal Soybean oil 1 7 18 25 peanut oil 2 7 17 24 canola oil 3 4 29 33 Tea seed oil 4 2 15 17 rice oil ...
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