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Tea variety classification method based on GK identification clustering

A classification method, tea technology, applied in character and pattern recognition, instruments, computer parts, etc., can solve the problems of inability to dynamically extract identification information, change data dimensions, etc.

Inactive Publication Date: 2018-11-06
JIANGSU UNIV
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  • Abstract
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  • Claims
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Problems solved by technology

However, the GK clustering method cannot dynamically extract identification information and change the data dimension during the clustering process.

Method used

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  • Tea variety classification method based on GK identification clustering
  • Tea variety classification method based on GK identification clustering
  • Tea variety classification method based on GK identification clustering

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0030] Step 1, tea (four kinds of Anhui tea) sample near-infrared spectrum collection.

[0031] Four Anhui brand teas were collected: Yuexi Cuilan, Lu'an Guapian, Shiji Maofeng, and Huangshan Maofeng. The number of samples of each tea was 65, a total of 260 samples. All tea samples were ground and pulverized and filtered through a 40-mesh sieve; The temperature and relative humidity in the laboratory remained relatively unchanged, and the Antaris II near-infrared spectrum analyzer was turned on and warmed up for 1 hour; the near-infrared spectrum of tea was collected using the reflection integrating sphere mode, and the near-infrared spectrum analyzer scanned each sample 32 times to obtain samples The mean value of the diffuse reflectance spectrum; the wave number of the spectral scan is 10000 ~ 4000cm- 1 , the scanning interval is 3.857cm- 1 , the collected spectrum of each tea sample is 1557-dimensional data; each sample is sampled 3 times, and the average value is taken as...

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Abstract

The invention discloses a tea variety classification method based on GK identification clustering. According to the method, first, a near infrared spectrum of tea samples is collected, and infrared spectrum preprocessing and dimension reduction processing are performed on the tea samples; second, identification information of the near infrared spectrum of tea training samples is extracted, and fuzzy C-means clustering is performed on test samples; and last, tea variety classification is performed by use of GK identification clustering. The method has the advantages of being high in detection speed, high in classification accuracy, environmentally friendly and the like. Through the method, nondestructive, quick and accurate classification of tea varieties can be realized.

Description

technical field [0001] The invention relates to a method for classifying tea varieties, in particular to a method for classifying tea varieties by GK differential clustering. Background technique [0002] Tea is one of the three major beverages in the world. It contains organic substances such as tea polyphenols, proteins and amino acids. Yuexi Cuilan, Lu'an Guapian, Shiji Maofeng, and Huangshan Maofeng are unique tea brands in Anhui. However, in the tea market there is a phenomenon of shoddy, and ordinary consumers cannot distinguish between high-quality famous tea and low-quality tea. Be deceived. Different varieties of tea have different organic content and quality. Therefore, it is very necessary to study a method for identifying tea varieties that is simple, easy to operate, and fast in detection speed. [0003] Near-infrared spectroscopy detection technology, as a rapid non-destructive detection technology, has been used in the detection and analysis of tea quality ...

Claims

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Application Information

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IPC IPC(8): G06K9/62
CPCG06F18/2321G06F18/2411
Inventor 武小红王大智傅海军孙俊陈勇武斌戴春霞
Owner JIANGSU UNIV
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