Emerging nondestructive approaches for meat quality and safety evaluation—A review

AY Khaled, CA Parrish, A Adedeji - Comprehensive Reviews in …, 2021 - Wiley Online Library
Meat is one of the most consumed agro‐products because it contains proteins, minerals,
and essential vitamins, all of which play critical roles in the human diet and health. Meat is a …

Meat quality evaluation based on computer vision technique: A review

A Taheri-Garavand, S Fatahi, M Omid, Y Makino - Meat science, 2019 - Elsevier
Nowadays people tend to include more meat in their diet thanks to the improvement in
standards of living as well as an increase in awareness of meat nutritive values. To ensure …

[HTML][HTML] A review on meat quality evaluation methods based on non-destructive computer vision and artificial intelligence technologies

Y Shi, X Wang, MS Borhan, J Young… - Food science of …, 2021 - ncbi.nlm.nih.gov
Increasing meat demand in terms of both quality and quantity in conjunction with feeding a
growing population has resulted in regulatory agencies imposing stringent guidelines on …

[HTML][HTML] ResNet and Yolov5-enabled non-invasive meat identification for high-accuracy box label verification

O Jarkas, J Hall, S Smith, R Mahmud… - … Applications of Artificial …, 2023 - Elsevier
Compliance issues riddle the agricultural sector despite being an essential industry for the
human race. Many factors contribute to compliance issues; however, meat cut label …

Computer vision for non-contact monitoring of catalyst degradation and product formation kinetics

C Yan, M Cowie, C Howcutt, KMP Wheelhouse… - Chemical …, 2023 - pubs.rsc.org
We report a computer vision strategy for the extraction and colorimetric analysis of catalyst
degradation and product-formation kinetics from video footage. The degradation of …

An embedded system based on DSP platform and PCA-SVM algorithms for rapid beef meat freshness prediction and identification

A Arsalane, N El Barbri, A Tabyaoui, A Klilou… - … and Electronics in …, 2018 - Elsevier
Statistical and artificial intelligence learning algorithms such as Principal Component
Analysis (PCA) and Support Vector Machine (SVM) are widely used in many meat quality …

A nondestructive intelligent approach to real‐time evaluation of chicken meat freshness based on computer vision technique

A Taheri‐Garavand, S Fatahi… - Journal of Food …, 2019 - Wiley Online Library
In this study, the capability of a procedure based on combination of computer vision (CV)
and artificial intelligence techniques examined for intelligent and nondestructive prediction …

[HTML][HTML] Applications of Artificial Intelligence for Heat Stress Management in Ruminant Livestock

EB Rebez, V Sejian, MV Silpa, G Kalaignazhal… - Sensors, 2024 - mdpi.com
Heat stress impacts ruminant livestock production on varied levels in this alarming climate
breakdown scenario. The drastic effects of the global climate change-associated heat stress …

[PDF][PDF] Performance evaluation of machine learning algorithms for meat freshness assessment

A Arsalane, A Klilou, N El Barbri - International Journal of Electrical …, 2024 - academia.edu
In meat industry, a non-destructive evaluation and prediction of meat quality attributes is
highly required. Artificial vision technology is a powerful and widely used tool for meat …

Feasibility study of beef quality assessment using computer vision and Deep Neural Network (DNN) algorithm

WK Tan, Z Husin, MAH Ismail - 2020 8th International …, 2020 - ieeexplore.ieee.org
The beef quality relies upon the colour score of muscle during the grading stage. Colour
scoring to be used in beef grading would be very critical and the current way of identification …