Abstract An estimation model following the sigmoid function of pericarp color based on the cumulative ethylene production was proposed. In the first part of the experiment, the same quintuplet samples were stored at 15 and 25 °C, respectively. In the second part, 114 tomatoes were stored at 12, 15, and 20 °C, and different triplet samples were used every time. It was concluded that the proposed model well described the behavior of the change in pericarp color in different storage temperatures. Moreover, the goodness of fit was better when the same sample was used. Another estimation method of parameters α, β, and γ of the sigmoid function at 15 °C was performed based on a linear regression using parameters α, β, and γ obtained at 12 and 20 °C. It suggested that the improvement of the goodness of fit will be achieved by the addition of data at different storage temperatures.

中文翻译：

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成熟绿色番茄在不同储存温度下的果皮 CIE a* 值作为累积乙烯产量的函数的预测模型的开发

摘要 提出了一种基于累积乙烯产量的果皮颜色Sigmoid函数估计模型。在实验的第一部分，相同的五联体样品分别储存在 15 和 25 °C。在第二部分中，114 个西红柿分别在 12、15 和 20 °C 下储存，每次使用不同的三联样品。结论是，所提出的模型很好地描述了不同储存温度下果皮颜色变化的行为。此外，当使用相同的样本时，拟合优度更好。15 °C 下 sigmoid 函数的参数 α、β 和 γ 的另一种估计方法是基于线性回归执行的，使用参数 α、β 和 γ 在 12 和 20 °C 下获得。