Single-grain corn starch content Raman hyperspectral grading method

Abstract

The invention relates to the technical field of grain seed grading and screening, and discloses a single-grain corn starch content Raman hyperspectral grading method. The method comprises the following steps of establishing a double-surface standard Raman spectrum curve of a single-grain corn sample based on an embryonic surface Raman hyperspectral image and a non-embryonic surface Raman hyperspectral image of the single-grain corn sample; acquiring a starch content physicochemical value of a single-grain corn sample based on an optical rotation method; establishing a single-grain corn starchcontent grading model based on the double-surface standard Raman spectrum curve of the single-grain corn sample and a single-grain corn sample starch content physicochemical value; and realizing the single-grain corn seed starch content nondestructive grading based on the single-grain corn starch content grading model. According to the grading method provided by the embodiment of the invention, the single-grain corn starch content grading model is established by combining the double-surface standard Raman spectrum curve of the single-grain corn sample with the starch content physicochemical value, so that the accuracy of the grading model is improved, and the rapid nondestructive grading of the starch content of the single-grain corn seeds is realized.

Description

technical field [0001] The invention relates to the technical field of grain seed classification and screening, in particular to a single-grain corn starch content Raman hyperspectral classification method. Background technique [0002] A hyperspectral image is a three-dimensional data cube. The data combines the advantages of imaging technology and spectral technology. It combines image information and spectral information into one. During analysis, it can not only perform spectral analysis on a certain area, but also obtain a certain feature. Image information under the band. Raman spectroscopy is a kind of scattering spectrum. Raman signals are generated by molecular vibrations with changing polarizability. Common alkanes, alkenes, alkynes, aromatics, oxygen-containing compounds and nitrogen-containing compounds all have strong Raman bands. . Through the combination of the two technologies, Raman hyperspectral technology can quickly and non-destructively detect samples,...

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Problems solved by technology

[0005] The present invention provides a single-grain corn starch content Raman hyperspectral grading method, which is used to solve the problem that the existing diffuse reflection scanning method often only collects hyperspectral images of one side of corn seeds, and the acquired image information cannot fully reflect the whole grain of corn The real situation of the seeds leads to the unsatisfactory grading effect of the starch content of single-grain corn seeds

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