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Flavonoid Distribution Mapping System of Velvet Apple Leaf Based on Hyperspectral Imaging

机译:基于高光谱成像的天鹅绒苹果叶黄酮分布图绘制系统

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The total content of flavonoids in plants is generally measured using spectrophotometric analysis based on color absorption rates. The method could not inform the distribution of flavonoids in a leaf. In this study, the mapping system of flavonoid distribution of Velvet Apple (Diospyros discolor Willd.) leaf was introduced using a hyperspectral imaging technique combining spectral and spatial analysis. The proposed system consists of a measurement system and a mathematical model that converts each spatial pixel into a value that represents the number of flavonoids in velvet apple leaves. The measurement system consists of a hyperspectral camera, halogen lamp, slider, and measurement frame. A random forest (RF) method is used to calculate the transformation model between reflectance values and total flavonoids. The construction of the measurement system was carried out with 738 data containing spectral data and lab measurement data. The evaluation of the random forest model obtained a value of R2 of 0.94 and RMSE 15.87 mg/ml.
机译:通常使用基于颜色吸收率的分光光度分析法测量植物中类黄酮的总含量。该方法无法告知叶中类黄酮的分布。在这项研究中,采用光谱和空间分析相结合的高光谱成像技术,引入了天鹅绒苹果(Diospyros discolor Willd。)叶黄酮分布的制图系统。拟议的系统由一个测量系统和一个数学模型组成,该数学模型将每个空间像素转换为代表天鹅绒苹果叶片中类黄酮数量的值。测量系统由高光谱照相机,卤素灯,滑块和测量框架组成。使用随机森林(RF)方法来计算反射率值和总黄酮之间的转换模型。测量系统的构建使用包含光谱数据和实验室测量数据的738个数据进行。随机森林模型的评估得出R2值为0.94,RMSE为15.87 mg / ml。

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