利用深度学习判断鸡蛋的新鲜度

Hasan Alp Şahin, Hasan Onder
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引用次数: 0

摘要

鸡蛋的新鲜度对孵化和人类食用都很重要。用传统方法很难在不损坏鸡蛋的情况下确定鸡蛋的新鲜度。深度学习是一种强大的方法,可用于对数据进行分类,无需处理或处理量更少。在这项研究中,30 枚鸡蛋作为实验材料被拍摄了 29 天,获得的图像被用作数据。其目的是确定鸡蛋的天数,根据获得照片的天数进行折叠。研究结果显示,估值准确率为 91.78%。在没有预处理的情况下获得输入数据表明,深度学习方法可用于需要快速决策且机器需要自行决策的情况。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Use Of Deep Learning To Determine The Freshness Of Egg
The freshness of the egg is important for both hatching and human consumption. It is quite difficult to determine the freshness of the egg without damaging it with classical methods. Deep learning is a powerful method used to classify data without processing or with much less processing. In this study, 30 eggs were photographed as experimental material for 29 days and the images obtained were used as data. It is aimed to determine how many days old the eggs are, which are foldered according to the days of the photos obtained. As a result of the study, 91.78% valuation accuracy value was obtained. Obtaining inputs without preprocessing shows that the Deep learning method can be used when a fast decision is required and the machine needs to make its own decision.
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