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Grade Identification of Tieguanyin Tea Using Fluorescence Hyperspectra and Different Statistical Algorithms

机译:铁观音茶的荧光高光谱和不同统计算法鉴别。

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In order to rapidly and nondestructively identify tea grades, fluorescence hyperspectral imaging (FHSI) technology was proposed in this paper. A total of 309 Tieguanyin tea samples with three different grades were collected and the fluorescence hyperspectral data was acquired by hyperspectrometer (400 to 1000 nm). The characteristic wavelengths were respectively selected by Bootstrapping Soft Shrinkage (BOSS), Variable Iterative Space Shrinkage Approach (VISSA) and Model Adaptive Space Shrinkage (MASS) algorithms. Then, Support Vector Machine (SVM) was applied to establishing the relationship between the characteristic peaks, the full spectra, three characteristic spectra and the labels of tea grades. The results showed that VISSA-SVM model had the best classification performance, but the model precision can still be improved. Thus, Artificial Bee Colony (ABC) algorithm was introduced to optimize the parameters of SVM model. The accuracy and Kappa coefficient of test set of VISSA-ABC-SVM model were improved to 97.436% and 0.962, respectively. Therefore, the combination of fluorescence hyperspectra with VISSA-ABC-SVM model can accurately identify the grade of Tieguanyin tea. Practical Application The rapid and accurate nondestructive tea grade identification method contributes to the construction of the tea online grade detection system. FHSI technology can solve the shortcomings of the reported methods and improved the identification accuracy of tea grades. It can be applied to the rapid detection of tea quality by tea companies, tea market, tea farmers and other demanders.
机译:为了快速,无损地确定茶叶的品位,提出了荧光高光谱成像(FHSI)技术。总共收集了309种三种不同等级的铁观音茶样品,并通过高光谱仪(400至1000 nm)获取了荧光高光谱数据。通过自举软收缩(BOSS),可变迭代空间收缩法(VISSA)和模型自适应空间收缩(MASS)算法分别选择特征波长。然后,应用支持向量机(SVM)建立特征峰,全光谱,三个特征光谱与茶叶等级标记之间的关系。结果表明,VISSA-SVM模型具有最好的分类性能,但模型精度仍然可以提高。因此,引入人工蜂群算法(ABC)来优化支持向量机模型的参数。 VISSA-ABC-SVM模型测试集的准确性和Kappa系数分别提高到97.436%和0.962。因此,荧光高光谱与VISSA-ABC-SVM模型的结合可以准确地识别铁观音茶的品位。实际应用快速准确的无损茶叶等级识别方法有助于茶叶在线等级检测系统的构建。 FHSI技术可以解决所报告方法的缺点,并提高了茶叶等级的识别精度。它可用于茶公司,茶市场,茶农和其他需求者的茶质量快速检测。

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