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Prediction of Moisture content in Maize leaves based on Near-infrared Spectroscopy

机译:基于近红外光谱法的玉米叶片水分含量预测

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In this paper, we propose a novel measure method of the moisture content in maize leaves unde different moisture treatment by the near-infrared spectroscopy technique. The reflectance spectral of maizt leaves is acquired in the spectral range of 300 to 2500 nm by near-infrared imaging system. And the moistun content of the maize leaves is acquired by traditional baking method. Then the partial least square regressioi (PLSR) model was used to analyze the correlation between near-infrared data and moisture content measurei by tradition baking method. Good correlations were found between moisture content in maize leaves and near infrared spectral information. By our experimental results, the coefficient of determination is equal to 0.97 witl SEC of 0.004 and SEP of 0.0032. This work provides an effective method for prediction of moisture content o maize leaves by near-infrared spectral technique.
机译:本文提出了一种新型测量方法,玉米水分含量的含水量消除近红外光谱技术的不同水分处理。通过近红外成像系统在300至2500nm的光谱范围内获得MAIZT叶的反射光谱。玉米叶片的滋润含量由传统的烘焙方法获得。然后,部分最小二乘regressIOI(PLSR)模型用于通过传统烘焙方法分析近红外数据和水分含量测量的相关性。玉米叶片的水分含量和近红外光谱信息之间发现了良好的相关性。通过我们的实验结果,测定系数等于0.004和90.032的0.97 Witl秒。该作品提供了通过近红外光谱技术预测水分含量O玉米叶片的有效方法。

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