Beef marbling automatic grading system and method based on image data

Abstract

The invention belongs to the technical field of computer software, and discloses a beef marbling automatic grading control system and method based on image data, and a computer. The method includes: collecting image data of beef, and classifying and grading the collected images according to internationally recognized meat grading standards; marking the beef quality area by using a marking tool, and recording information of the marked rectangular frame area; training a deep learning model YOLO through the training data, testing the classification performance of the model by using randomly extracted samples, and performing parameter adjustment on the model through a test structure; and completing grading of the beef quality. At present, cattle breeding is still in a development stage in animal husbandry in China, and the development of the beef quality automatic grading software based on image data. influences the economic level of animal husbandry in China to a great extent.

Description

technical field [0001] The invention belongs to the technical field of computer software, in particular to an automatic grading control system and method for beef quality (marble pattern) based on image data, and a computer. Background technique [0002] At present, the existing technologies commonly used in the industry are as follows: [0003] At present, the main method of beef marbling evaluation is to manually refer to the standard plate of beef marbling or to judge directly by trained grading experts based on experience. [0004] At present, the evaluation of the quality of beef products by beef product manufacturers and consumers is mainly through artificial means. In this way, due to the differences in work experience and work attitudes of each person, a lot of subjective interference has been brought into the evaluation of beef meat quality; in order to avoid Due to human subjective interference, people have formulated a standard plate of beef marbling and provided...

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Problems solved by technology

[0008] (3) This traditional grading evaluation method is greatly affected by the experience and subjective factors of the evaluators, and has disadvantages such as low efficiency and large errors in evaluation results.

[0009] (4) The use of machine vision technology is a non-destructive and rapid detection technology developed in recent years. Although there are reports at home and abroad, it has not been applied to practice.

[0010] (5) When using artificial naked eyes to judge beef meat quality, the identification and classification process is relatively slow and the work efficiency is low. Secondly, it is easily affected by human subjective factors and the quality of meat quality grading is reduced; personnel training and the production of marbled beef meat quality grading plates have increased. The cost of beef production enterprises; automatic grading technology based on image feature engineering, due to the limited expression ability of image feature operators, its high computational complexity cannot meet the requirements of real-time and recognition accuracy in actual production

[0012] The influence of human subjective factors on meat quality grading can be reduced by training staff on professional skills and making standard plates for beef marbling grading, but the negative impact of these factors on meat quality grading cannot be completely eliminated; due to the automatic grading based on image feature engineering In the algorithm, the feature expression operator for beef meat quality is manually designed, its expression ability is limited and the algorithm complexity is high

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