Multi-source information fusion-based Thai Hom Mali rice adulteration identification method

Abstract

The invention discloses a multi-source information fusion-based Thai Hom Mali rice adulteration identification method. The method comprises the following steps of: S1, performing near infrared spectrum data acquisition and spectrum preprocessing on rice; S2, detecting conventional indexes of the rice, and calculating whiteness; S3, carrying out dimension reduction processing on conventional indexes and near infrared spectra of the rice by adopting principal component analysis, then extracting characteristic values, and determining principal component scores; S4, establishing a Thai Hom Mali rice adulteration identification model; and S5, verifying the adulteration identification model. The method has the advantages of no need of any chemical reagent, no damage, stability, rapidness, environmental friendliness, high accuracy, low detection cost and good repeatability, can be effectively applied to quality supervision and detection of the Thai Hom Mali rice market, has important significance for promoting sustainable and healthy development of the high-quality rice industry, and has a wide application prospect.

Description

technical field [0001] The invention relates to the technical field of food detection, in particular to a multi-source information fusion identification method for Thai jasmine rice adulteration. Background technique [0002] Thai jasmine rice refers to fragrant brown rice or fragrant rice milled from non-waxy fragrant rice produced by locally grown Kao Dok Mali 105 and RD15 varieties certified by the Department of Agriculture of the Ministry of Agriculture and Cooperation of Thailand. Thai jasmine rice is of high quality and is one of the most popular and expensive rice products in the world. In recent years, my country's import of Thai jasmine rice has been increasing day by day, but there is a problem of adulteration in imported and marketed Thai jasmine rice. The "Thai Jasmine Rice Inspection Standard" points out that different types and grades of Thai jasmine rice meet the requirement that the fragrant rice content is not less than 92%. In order to reduce costs, some ...

AI Technical Summary

Problems solved by technology

Since the near-infrared spectrum analysis is mainly based on the different absorption peaks shown in the near-infrared spectrum according to the different chemical composition of rice from different sources, the result of purely near-infrared spectrum information to identify fragrant rice is not accurate.

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