A non-destructive detection method for freshness of livestock meat based on multispectral imaging technology

Abstract

The invention discloses a non-destructive detection method for freshness of livestock meat. The method comprises the following steps of: S10, acquiring a multispectral image of a livestock meat sample to be detected, and measuring a freshness evaluation index of the livestock meat sample to be detected; S20, extracting a scattering curve of the multispectral image, and calculating a pixel gray average value, a reflection strength ratio and the numerical integration of the scattering curve of the multispectral image; S30, establishing a multiple linear regression prediction model of the freshness evaluation index of the livestock meat sample to be detected; S40, establishing a discrimination model of the freshness of the livestock meat sample to be detected; and S50, acquiring a prediction value of the freshness evaluation index of the livestock meat sample to be detected by utilizing the prediction model, inputting the prediction value into the discrimination model of the freshness of the livestock meat, and acquiring a detection result. According to the disclosed technical scheme, non-destructive detection of the livestock meat is realized, the modeling difficulty and detection cost are reduced, the detection speed is improved, and actual popularization of the technical scheme is promoted.

Description

Technical field [0001] The invention relates to the field of non-damage detection of agricultural and livestock products, in particular to a non-damage detection method of livestock meat freshness based on multispectral imaging technology. Background technique [0002] Livestock meat is rich in nutrients and is an important food source in people's lives. In recent years, the production of livestock meat in my country has continuously increased, and people's demand for livestock products has increased, and at the same time, higher requirements have been placed on their quality. The freshness of raw meat is a comprehensive evaluation of the hygienic standards of the flavor, color and taste of the meat. It can comprehensively reflect the reliability of the nutrition and safety of the product, and it is one of the important indicators to measure the quality of the meat. [0003] At present, domestic animal meat freshness testing adopts sensory evaluation methods, standard physical and...

AI Technical Summary

Problems solved by technology

[0005] The technical problem to be solved by the present invention is: how to provide a non-destructive detection method for the freshness of livestock meat based on multi-spectral imaging technology, and at the same time solve the technical problem of the damage detection of livestock meat samples in the prior art

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