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Nondestructive grading method for lamb carcass output

A carcass and yield technology, applied in the field of non-destructive grading of sheep carcass yield, can solve problems such as damage and error carcass, and achieve the effects of avoiding human error, fast analysis speed, and good prediction effect.

Active Publication Date: 2012-05-02
INST OF AGRO FOOD SCI & TECH CHINESE ACADEMY OF AGRI SCI
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide a non-destructive grading method for sheep carcasses that is simple to operate, convenient, quick and efficient, in order to overcome the errors caused by manual grading in the existing method and the damage to the carcass during the grading process.

Method used

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  • Nondestructive grading method for lamb carcass output
  • Nondestructive grading method for lamb carcass output
  • Nondestructive grading method for lamb carcass output

Examples

Experimental program
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Effect test

Embodiment 1

[0039] Embodiment 1, sheep carcass meat production rate manual prediction model construction

[0040] 1.1 Test materials and instruments

[0041] 1.1.1 Test material

[0042] According to the national standard "GB / T 20551-2006 HACCP Application Specification for Livestock and Poultry Slaughter", the sheep carcasses are slaughtered and processed according to the provisions of Appendix E Standard Operating Procedures for Cattle and Sheep Slaughter, and hold the quarantine certificate issued by the animal epidemic prevention supervision agency of the place of origin.

[0043] 1.1.2 Test equipment

[0044] Planimeter: digital planimeter KP-90N, produced by Koizumi, Japan;

[0045] Color difference meter: Minolta CR-400, produced by Konica Corporation of Japan;

[0046] Electronic weighing platform scale: BSWE-1-60, Taiwan Lianmao Electronics Co., Ltd.;

[0047] Electronic digital caliper: 0-150mm, Shanghai Taihai Engineering Measuring Tools Co., Ltd.

[0048] 1.2 Test method ...

Embodiment 2

[0100] Example 2. Construction of a near-infrared spectrum prediction model for rib fat thickness and non-destructive grading of sheep carcass yield based on the model

[0101] Firstly, sheep carcasses with different rib fat thickness ranges were selected in the mutton processing workshop to measure the value of the rib fat thickness. The measurement site was the fat thickness at 11 cm from the 12 ribs of the lamb carcass to the center of the spine.

[0102] At the same time, a portable near-infrared probe was used to collect near-infrared spectra of corresponding parts (scanning range 1000nm-1800nm). Test conditions: 32 near-infrared spectrum scans; spectral resolution ≤ 12nm; experimental temperature 25°C. Collect 5 spectra for each sample to establish a spectral library, such as Figure 7 shown.

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Abstract

The invention discloses a nondestructive grading method for lamb carcass output. The method, which is implemented on the basis of a near-infrared side meat thickness prediction model, includes the following steps: (1) acquiring the near-infrared spectrograms of the side meat thickness-measured parts of lamb carcasses to be graded; (2) preprocessing and introducing the acquired near-infrared spectra into the near-infrared side meat thickness prediction model, so that side meat thickness values are worked out; (3) combining the side meat thicknesses, a carcass meat rate equation of the near-infrared side meat thickness prediction model and an output-grading method to carry out the nondestructive grading of the carcasses. A near-infrared side meat thickness prediction model construction method includes the following steps: (1) measuring the side meat thickness values of the different lamb carcasses; (2) acquiring the near-infrared spectrograms of the side meat thickness-measured parts of the different lamb carcasses; (3) preprocessing and then correlating the acquired near-infrared spectra with the measured side meat thickness values to construct a mathematical model. The method does not need to injure the lamb carcasses, analysis is rapid and simple, and the method provides quick initial grading preparation for mutton-processing enterprises in China.

Description

technical field [0001] The invention relates to a non-destructive grading method for sheep carcass yield. Background technique [0002] In recent years, people's living standards have improved significantly, and higher requirements have been put forward for food quality. The concept of high quality and high price has been deeply rooted in the hearts of the people. This requires us to grade the carcasses before fine cutting. The artificial yield grading model of sheep carcass needs to measure the rib thickness artificially, the measuring position destroys the ribs of the carcass, the measurement process is cumbersome and there are human errors. Therefore, there is an urgent need for a non-destructive intelligent grading method. [0003] Near-infrared spectroscopy (NIR) analysis technology has been rapidly promoted with the application of chemometric methods, and has achieved gratifying results in instrument development, software research, basic research and applications, es...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N21/35G01N21/3563G01N21/359
Inventor 张德权陈丽张春晖饶伟丽王培培薛丹丹丁楷刘岳
Owner INST OF AGRO FOOD SCI & TECH CHINESE ACADEMY OF AGRI SCI
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