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Beef marbling grade automatic evaluation method based on Internet of Things

A technology of marble pattern and evaluation method, applied in the field of non-destructive testing of agricultural and livestock products, can solve the problems of large volume, unsatisfactory, high cost, etc., and achieve the effect of reducing the volume of equipment

Pending Publication Date: 2020-10-27
CHINA AGRI UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, this method relies on industrial cameras for machine vision and other hardware devices, which are expensive and bulky, and cannot meet the market's demand for portable detection of beef marbling grades

Method used

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  • Beef marbling grade automatic evaluation method based on Internet of Things
  • Beef marbling grade automatic evaluation method based on Internet of Things
  • Beef marbling grade automatic evaluation method based on Internet of Things

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Embodiment Construction

[0031] In order to illustrate the technical solution of the present invention more clearly, the accompanying drawings that need to be used in the description will be briefly introduced below. Obviously, the accompanying drawings in the following description are only some embodiments of the present invention. As far as people are concerned, other embodiments can also be obtained according to these drawings on the premise of not paying creative work. In order to facilitate the understanding of the present invention, the present invention will be described in more detail below in conjunction with the accompanying drawings and specific embodiments.

[0032] The present invention is mainly made up of three major parts:

[0033] Local terminal module, cloud server module and remote terminal module.

[0034] The local terminal module is mainly composed of a beef marbling acquisition terminal, which has the function of image acquisition, and saves and displays image information.

[...

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Abstract

The invention provides a beef marbling grade automatic evaluation method based on the Internet of Things. The beef marbling grade automatic evaluation method is characterized in that a local terminalmodule, a cloud server module and a remote terminal module are included; the local terminal module is a beef marbling acquisition terminal; the cloud server module is composed of a database server, anapplication server and an image data processing program in the application server; the remote terminal module comprises a smart phone and WeChat applet or APP software or webpage real-time operationsoftware on the smart phone. The size of the instrument is reduced, so that beef marbling grade nondestructive testing is made to be light and miniaturized; and rapid and real-time evaluation of the beef marbling grade is realized.

Description

technical field [0001] The invention relates to the technical field of non-destructive testing of agricultural and livestock products, in particular to a method for grading beef. Background technique [0002] For the detection of agricultural products and beef marbling, traditional detection methods use manual experience or template methods for evaluation, which lacks stability. In recent years, with the development of hyperspectral technology and machine vision technology, many scholars at home and abroad have combined atlas technology with beef marbling grade evaluation, proposed some evaluation methods and established corresponding models. [0003] Sun Xiao et al. "Beef Marbling Segmentation Based on Hyperspectral Image Spectral Information" based on hyperspectral image spectral information, collected hyperspectral images of beef eye muscle cross-sections in the 400-1000nm band, and compared the fat area and The reflection intensity of the muscle area is different, and t...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06T5/00G06T7/10G06F16/25G06F16/28
CPCG06T7/0004G06T7/10G06F16/252G06F16/284G06T2207/30128G06T5/70
Inventor 彭彦昆魏文松邢瑶瑶马营
Owner CHINA AGRI UNIV