The application of computer vision systems in meat science and industry – A review

Modzelewska‐Kapituła, Monika; Jun, Soojin

doi:10.1016/j.meatsci.2022.108904

Cited by 12 publications

(2 citation statements)

References 92 publications

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“…Computer vision systems have been used in the food industry for many years to control food quality, e.g., vegetables [ 101 , 102 ] and fruits [ 103 , 104 ], as well as meat [ 105 , 106 ] and fish [ 107 , 108 ], due to numerous advantages. Computer vision systems enable noninvasive, noncontact, hygienic, rapid, high recognition accuracy, repeatable assessment of product quality.…”

Section: Application Of Imaging Techniques For the Qualitive Evaluati...mentioning

confidence: 99%

The Need for Machines for the Nondestructive Quality Assessment of Potatoes with the Use of Artificial Intelligence Methods and Imaging Techniques

Danielak

Przybył

Koszela

2023

Sensors

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This article describes chemical and physical parameters, including their role in the storage, trade, and processing of potatoes, as well as their nutritional properties and health benefits resulting from their consumption. An analysis of the share of losses occurring during the production process is presented. The methods and applications used in recent years to estimate the physical and chemical parameters of potatoes during their storage and processing, which determine the quality of potatoes, are presented. The potential of the technologies used to classify the quality of potatoes, mechanical and ultrasonic, and image processing and analysis using vision systems, as well as their use in applications with artificial intelligence, are discussed.

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Section: Application Of Imaging Techniques For the Qualitive Evaluati...mentioning

confidence: 99%

The Need for Machines for the Nondestructive Quality Assessment of Potatoes with the Use of Artificial Intelligence Methods and Imaging Techniques

Danielak

Przybył

Koszela

2023

Sensors

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“…Machine vision system consists of image capture equipment, light sources, and computer hardware and software. The devices used for image capture can be digital cameras, ultrasound scanners, computed tomography scanners, etc., enabling the user to obtain information about the external and internal characteristics of the object under test [ 146 ]. Illumination level is one of the important influencing factors for machine vision systems.…”

Section: Machine Visionmentioning

confidence: 99%

Non-Destructive Techniques for the Analysis and Evaluation of Meat Quality and Safety: A Review

Liang

Wang

et al. 2022

Foods

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With the continuous development of economy and the change in consumption concept, the demand for meat, a nutritious food, has been dramatically increasing. Meat quality is tightly related to human life and health, and it is commonly measured by sensory attribute, chemical composition, physical and chemical property, nutritional value, and safety quality. This paper surveys four types of emerging non-destructive detection techniques for meat quality estimation, including spectroscopic technique, imaging technique, machine vision, and electronic nose. The theoretical basis and applications of each technique are summarized, and their characteristics and specific application scope are compared horizontally, and the possible development direction is discussed. This review clearly shows that non-destructive detection has the advantages of fast, accurate, and non-invasive, and it is the current research hotspot on meat quality evaluation. In the future, how to integrate a variety of non-destructive detection techniques to achieve comprehensive analysis and assessment of meat quality and safety will be a mainstream trend.

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Critical review and recent advances of emerging real-time and non-destructive strategies for meat spoilage monitoring

Chen,

Zhang,

Wang

et al. 2024

Food Chemistry

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The application of computer vision systems in meat science and industry – A review

Cited by 12 publications

References 92 publications

The Need for Machines for the Nondestructive Quality Assessment of Potatoes with the Use of Artificial Intelligence Methods and Imaging Techniques

The Need for Machines for the Nondestructive Quality Assessment of Potatoes with the Use of Artificial Intelligence Methods and Imaging Techniques

Non-Destructive Techniques for the Analysis and Evaluation of Meat Quality and Safety: A Review

Critical review and recent advances of emerging real-time and non-destructive strategies for meat spoilage monitoring

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