Multi-index meat freshness nondestructive testing method and system
A non-destructive testing and freshness technology, applied in color/spectral characteristic measurement, instruments, calculations, etc., can solve the problems of complex operation, low efficiency, and inability to realize non-destructive testing of meat freshness, and achieve high-accuracy non-destructive testing, Solve complex effects
Pending Publication Date: 2022-07-12
INNER MONGOLIA AGRICULTURAL UNIVERSITY
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[0005] The present invention solves the technical problems of complicated operation, low efficiency and inability to realize non-destructive detection of meat freshness in the prior art by providing a multi-indicator meat freshness non-destructive detection method and system, thereby being able to efficiently and accurately detect Non-destructive testing of meat freshness
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[0059] The embodiments of the present invention solve the technical problems in the prior art that the operation is complicated, the efficiency is low, and the non-destructive detection of meat freshness cannot be realized by providing a method and system for non-destructive detection of meat freshness with multiple indicators, so that the non-destructive detection of meat freshness can be efficiently and accurately Non-destructive testing of meat freshness.
[0060] The technical solution in the embodiment of the present invention is to solve the above-mentioned problem of crosstalk, and the general idea is as follows:
[0061] The multi-label feature learning error function was constructed, the neural network learning process was improved, the correlation between labels and between labels and spectra was mined, and a multi-index classification analysis model was established, which was used in the nondestructive detection of chilled mutton freshness. The improved algorithm ca...
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The invention discloses a multi-index meat freshness nondestructive testing method and system. The method comprises the following steps: firstly, acquiring meat image spectrum data; carrying out smooth filtering and multiplicative scatter correction on the meat image spectrum data to obtain processed spectrum data; extracting characteristic wave band data from the processed spectrum data; and finally, inputting the characteristic wave band data into the trained meat freshness grade classification model to obtain a meat freshness detection result, thereby effectively solving the technical problems that the operation is complicated, the efficiency is low and the nondestructive detection of the meat freshness cannot be realized in the prior art, so that the nondestructive detection of the meat freshness can be efficiently and accurately carried out.
Description
technical field [0001] The invention relates to the technical field of non-destructive detection of freshness, in particular to a method and system for non-destructive detection of multi-index meat freshness. Background technique [0002] As an important part of meat food, chilled mutton is high in protein, low in fat and cholesterol, and contains many essential amino acids. of favor. However, because of the high moisture content of chilled mutton, it is easy to spoil in the process of processing, storage, transportation and sales, resulting in food safety problems. [0003] Freshness is a reflection of the sensory characteristics of meat, the quantity and characteristics of physical and chemical decomposition products, and the degree of microbial contamination and reproduction. The freshness change of chilled mutton is a complex process, in which the moisture, protein and fat content, the degree of microbial contamination and reproduction, and the storage environment will...
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IPC IPC(8): G01N21/25G06V10/764G06V10/34G06V10/20G06K9/62
CPCG01N21/25G06F18/24
Inventor 姜新华徐子洋周艳青白洁马学磊张文婧许珂
Owner INNER MONGOLIA AGRICULTURAL UNIVERSITY