基于高光谱成像的丝绒苹果叶片类黄酮分布制图系统

Maulana Ihsan, A. H. Saputro, W. Handayani
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引用次数: 2

摘要

植物中黄酮类化合物的总含量通常采用基于显色吸收率的分光光度法测定。该方法不能反映黄酮类化合物在叶片中的分布。本研究采用光谱与空间分析相结合的高光谱成像技术,建立了丝绒苹果叶片黄酮类化合物分布图谱。该系统由一个测量系统和一个数学模型组成,该模型将每个空间像素转换为代表天鹅绒苹果叶片中黄酮类化合物数量的值。测量系统由高光谱相机、卤素灯、滑块和测量框架组成。采用随机森林(RF)方法计算反射率值与总黄酮之间的转换模型。测量系统的构建使用了738个数据,其中包括光谱数据和实验室测量数据。随机森林模型的评价R2为0.94,RMSE为15.87 mg/ml。
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Flavonoid Distribution Mapping System of Velvet Apple Leaf Based on Hyperspectral Imaging
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.
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