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105265

MACHINE VISION METHOD FOR QUALITY EVALUATION OF COW MEAT

Article

Last updated: 26 Dec 2024

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Tags

Processing Engineering of Agricultural Products

Abstract

The aim of the present research was to determine physical and chemical properties of different muscles cut of cow meat, studying effect of physical and chemical changes on color properties of meat samples and quality evaluation for cow meat using image processing.Measurements of color properties were carried out at the Laboratory of Laser Application in Agriculture Engineering at National Institute of Laser Enhanced Science (NILES), Egypt. While, the physical and chemical properties of meat samples were analyzed in the Research Park, Faculty of Agriculture, Cairo University, Giza, Egypt. The samples, were abscised from four muscles representing common retail cuts in the local market in Egypt (Round (Leg), Shoulder, Hind shank and Best ribs).  Determination of chemical properties of the meat samples(moisture content, protein, fat, ash, pH and collagen) and physical characteristics (cooking loss, water holding capacity, and shear force) and color  properties (intensity, saturation values and hue degree) were measured during season 2008 - 2009. The obtained results were as following: (a) By increasing of the shear force and the water holding capacity and decreasing the cooking losses of meat sample, these result led to the lowering of intensity and saturation values. While increases of the hue degree for best ribs, shoulder, round and hind shank of meat cut type of cow., (b)By decreasing the moisture content, fat, and ash percentages and increasing the protein, collagen percents and pH values led to decrease the intensity and saturation values of meat cut while hue degree was increased for best ribs, shoulder, round and hind shank, respectively., (c) The best ribs sample has high intensity of light, lighter of saturation and red color degree than shoulder, round and hind shank samples. While, the hind shank sample was the lowest of intensity, darker and more red color degree., and (d) Image processing as a machine vision technique can be used for evaluating quality of meat cut types.   

DOI

10.21608/mjae.2011.105265

Authors

First Name

H. E.

Last Name

Hassan

MiddleName

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Affiliation

Associate Prof., Nat. Inst. of Laser Enhanced Sc. (NILES), Cairo Univ., Egypt.

Email

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City

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Orcid

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First Name

A. A.

Last Name

Abd El-Rahman

MiddleName

-

Affiliation

Senior Researcher, Agric. Eng. Res. Institute, Agric. Res. Center, Dokki, Egypt.

Email

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City

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Orcid

-

First Name

F. M.

Last Name

Shehata

MiddleName

-

Affiliation

Postgraduate, Nat. Inst. of Laser Enhanced Sc. (NILES), Cairo Univ., Egypt.

Email

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City

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Orcid

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Volume

28

Article Issue

2

Related Issue

15907

Issue Date

2011-04-01

Receive Date

2020-07-27

Publish Date

2011-04-01

Page Start

416

Page End

439

Print ISSN

1687-384X

Online ISSN

2636-3062

Link

https://mjae.journals.ekb.eg/article_105265.html

Detail API

https://mjae.journals.ekb.eg/service?article_code=105265

Order

11

Type

Original Article

Type Code

1,326

Publication Type

Journal

Publication Title

Misr Journal of Agricultural Engineering

Publication Link

https://mjae.journals.ekb.eg/

MainTitle

MACHINE VISION METHOD FOR QUALITY EVALUATION OF COW MEAT

Details

Type

Article

Created At

23 Jan 2023