The Best Classification Algorithm for Identification Beef Quality Based on Marbling

Hanny Hikmayanti Handayani, S. Madenda, Eri Prasetyo Wibowo, Tubagus Maulana Kusuma, S. Widiyanto, Anis Fitri Nur Masruriyah
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Abstract

Indonesian populace demands animal protein high enough to fulfill nutrition, one of the most sought-after sources of protein comes from beef. Due to high market needs, some traders are defrauding to get higher profits. This has caused discomfort for most beef consumers because people generally rely on the ability of vision to find out the quality of meat. In order to make it easier for the public to recognize the quality of meat to be consumed, this study classifies the quality of meat marbling based on the size of marbling. The classification in this study used the SVM algorithm, LDA, and Decision Tree. Furthermore, the result came out with the best algorithm in this case was the Decision Tree.
基于大理石纹的牛肉质量识别最佳分类算法
印尼民众对动物蛋白的需求高到足以满足营养需求,其中最受欢迎的蛋白质来源之一来自牛肉。由于市场需求旺盛,一些交易者为了获得更高的利润而进行欺诈。这给大多数牛肉消费者带来了不适,因为人们通常依靠视觉来判断肉的质量。为了便于公众识别食用肉类的质量,本研究根据大理石纹的大小对肉类大理石纹的质量进行了分类。本研究的分类使用了SVM算法、LDA和Decision Tree。此外,结果表明,在这种情况下,最佳算法是决策树。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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