Optical sensing as analytical tools for meat tenderness measurements-A review

M Kamruzzaman - Meat Science, 2023 - Elsevier
Meat tenderness is the most important attribute related to consumer satisfaction. No
analytical tool is currently available to measure or predict tenderness in real-time. Therefore …

[HTML][HTML] Applications of livestock monitoring devices and machine learning algorithms in animal production and reproduction: an overview

PF Curti, A Selli, DL Pinto, A Merlos-Ruiz… - Animal …, 2023 - SciELO Brasil
Some sectors of animal production and reproduction have shown great technological
advances due to the development of research areas such as Precision Livestock Farming …

Prediction of primal and retail cut weights, tissue composition and yields of youthful cattle carcasses using computer vision systems; whole carcass camera and/or …

J Segura, JL Aalhus, N Prieto, S Zawadski, H Scott… - Meat Science, 2023 - Elsevier
The application of two computer vision systems (CVS) was evaluated to predict primal and
retail cut composition in youthful beef carcasses. Left carcass sides from a total of 634 …

Proton transverse relaxation times depending on the unsaturated fatty acids: a magnetic resonance relaxometric study on beef fat samples

Y Nakashima, D Hashimoto - International Journal of Food …, 2023 - Taylor & Francis
The unsaturated fatty acid content of beef meat is an important property that affects the
health and sense of taste of the consumer and determines price. Fresh beef fat samples …

[HTML][HTML] Challenges and future perspectives for the European grading of pig carcasses–A quality view

M Čandek-Potokar, B Lebret, M Gispert… - Meat Science, 2024 - Elsevier
This study sought to evaluate pig carcass grading, describing the existing approaches and
definitions, and highlighting the vision for overall quality grading. In particular, the current …

Quality Grading of Beef using Deep Convolutional Neural Network

A Sharma, T Choudhury, T Sarkar… - 2023 9th …, 2023 - ieeexplore.ieee.org
Beef is one of the most widely consumed meat, being an organic substance it is prone to
degradation over time. In our paper we have proposed a Convolutional Neural Network …

[HTML][HTML] Deep Learning-Based Automated Approach for Determination of Pig Carcass Traits

J Wei, Y Wu, X Tang, J Liu, Y Huang, Z Wu, X Li… - Animals, 2024 - mdpi.com
Simple Summary Utilizing computer vision technology to automate the measurement of pig
carcass traits is of significant importance for genetic selection in breeding and enhancing the …

Aplicación de la Imagen de Resonancia Magnética (IRM) al análisis morfológico no destructivo de piezas cárnicas. Una aproximación a la selección de perniles.

V Remiro, D Castejón, ME Fernández Valle… - 2023 - docta.ucm.es
Para determinar el potencial de aplicación de la imagen de resonancia magnética (IRM) en
la evaluación de la aptitud tecnológica de perniles frescos a nivel industrial se han obtenido …

[PDF][PDF] Prediction of primal and retail cut weights of youthful cattle carcasses using whole carcass camera (HCC); a computer vision system (CVS)

J Segura, N Prieto, S Zawadski, H Scott, JL Aalhus… - cmsa-ascv.ca
Carcass evaluation and classification are important to determine carcass market value
(Aalhus et al., 2014). The implementation of new technologies to assess carcass …

[PDF][PDF] Predicción de características de canal de importancia económica en corderos finalizados en corral a partir de variables de comportamiento productivo

AT Carbajal Estrada - repositorioinstitucional.uabc.mx
El objetivo de este estudio fue desarrollar ecuaciones para predecir el peso vivo vacío
(PVV) y algunas características de la canal de importancia económica en corderos de pelo …