Eventos Anais de eventos
COBEM 2019
25th International Congress of Mechanical Engineering
IDENTIFICATION OF THE MARBLE MEAT STANDARD THROUGH THE NEURAL NETWORK FOR QUALITY GRADING
Submission Author:
Monielly Monteiro , MT , Brazil
Co-Authors:
Monielly Monteiro, Heinsten Frederich Leal dos Santos
Presenter: Monielly Monteiro
doi://10.26678/ABCM.COBEM2019.COB2019-2035
Abstract
With the growth of the beef industry, the speed of operations in slaughterhouse lines has dramatically increased. The wide variations in beef cattle genetics complicate the classification of beef cuts, products, and quality data documentation. To address these challenges, intelligent automation is considered a viable solution for fast, objective, consistent and accurate beef grading of quality. The beef marbling is the most important indicator of beef quality grading by measuring the abundance of intramuscular fat. In recent years, an artificial neural network was used to remain the primary learning methods in the field of computer vision for food classification evaluation. In this paper, an automatic grading of beef marbling combining image processing and Neural Network was developed to generate a database reducing the human factor in the classification.
Keywords
Marbling, Neural Network, image processing, quality, Artificial Intelligence
