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Digitization of Broccoli Freshness Integrating External Color and Mass Loss

机译:外部颜色和大众损失的西兰花新鲜度的数字化

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摘要

Yellowing of green vegetables due to chlorophyll decomposition is a phenomenon indicating serious deterioration of freshness, and it is evaluated by measuring color space values. In contrast, mass reduction due to water loss is a deterioration of freshness observed in all horticultural crops. Therefore, in this study, we propose a novel freshness evaluation index for green vegetables that combines the degree of greenness and mass loss. The green color retention rate was measured using a computer vision system, and the mass retention rate was measured by weighing. Linear discriminant analysis (LDA) was performed using both variables (greenness and mass) as covariates to obtain a single freshness evaluation value (first canonical variable). The correct classification of storage period length by LDA was 96%. Green color retention alone allowed for classification of storage durations between 0 day and 10 days, whereas LDA could classify storage durations between 0 day and 12 days. The novel freshness evaluation index proposed by this research, which integrates greenness and mass, has been shown to be more accurate than the conventional evaluation index that uses only greenness.
机译:由于叶绿素分解导致的绿色蔬菜的变黄是表明新鲜度严重恶化的现象,并且通过测量颜色空间值来评估。相反,由于水分损失导致的质量降低是在所有园艺作物中观察到的新鲜度的恶化。因此,在本研究中,我们为绿色和质量损失的程度提出了一种新的新鲜度评价指标。使用计算机视觉系统测量绿色保持率,通过称重来测量质量保留率。使用变量(绿色和质量)作为协变量进行线性判别分析(LDA),以获得单一的新鲜度评价值(第一个规范变量)。 LDA的正确分类长度长度为96%。单独的绿色保留允许在0天和10天之间进行储存持续时间的分类,而LDA可以在0天和12天之间分类存储持续时间。本研究提出的新型新鲜度评价指标,其集成了绿色和质量,这些指数已经显示出比仅使用绿色的常规评估指数更准确。

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