Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Identification method of wolfberry origin based on hyperspectral imaging technology

A hyperspectral imaging, wolfberry technology, applied in image analysis, image data processing, material analysis by optical means, etc., can solve the problem of not much involvement in the field of traditional Chinese medicine

Active Publication Date: 2021-05-11
INST OF CHINESE MATERIA MEDICA CHINA ACAD OF CHINESE MEDICAL SCI
View PDF4 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

As a result, hyperspectral imaging technology has penetrated into all aspects of life, except in the field of traditional Chinese medicine.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Identification method of wolfberry origin based on hyperspectral imaging technology
  • Identification method of wolfberry origin based on hyperspectral imaging technology
  • Identification method of wolfberry origin based on hyperspectral imaging technology

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0043] according to figure 1 The flowchart shown and the use of figure 2 The device shown is based on the hyperspectral imaging spectrometer to identify the same variety of Lycium barbarum from different origins. The specific steps are as follows:

[0044] 1. Use a hyperspectral imager to scan the spectrum of the same variety of wolfberry from different origins. When scanning, the 1000-2400nm lens works to collect hyperspectral data.

[0045] Take samples of the same species of wolfberry from different origins for scanning, and try not to exceed the scope of the lens every time you scan. When placing goji berries, highlight the characteristics of each particle, try not to overlap closely, and place the whiteboard for black and white correction 5cm behind the sample. Wait for the instrument to connect and self-test. Set the scanning parameters of the hyperspectral imager, the lens distance is 30cm, the platform moving speed is 1.5mm / s, the integration time of the 1000-2400n...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a method for identifying the origin of wolfberry fruit based on hyperspectral imaging technology. It includes the following steps: Spectral scanning is performed on samples of the same variety of Lycium barbarum from different origins to collect hyperspectral data from 1000 to 2400 nm; RAD correction and black and white correction are performed to process relative reflectance data, and then threshold segmentation is performed to delete small Area calculation; extract the region of interest from the data to obtain the average spectral value of the region of interest; divide it into three parts, and record it as the training set, verification set and test set spectral data; use ZCA whitening to process the three parts of data; will be processed by The main spectral information and origin information obtained from the spectrum of the training set were modeled using partial least squares regression to obtain a prediction model for the origin of wolfberry fruit; the model was debugged using the spectral data of the validation set and the test set spectral data; Sub-origin identification. The invention can identify the origin, reduce the cost of manual identification, and improve the efficiency, accuracy and scientificity of identification.

Description

technical field [0001] The invention relates to a method for identifying the origin of wolfberry fruit based on hyperspectral imaging technology, and belongs to the field of identification of traditional Chinese medicinal materials. Background technique [0002] Lycium barbarum resources are widely distributed in my country. According to the description of "Flora of China", it is native to northern my country, such as northern Hebei, Inner Mongolia, northern Shanxi, northern Shaanxi, Gansu, Ningxia, Qinghai, and Xinjiang. It is cultivated because the fruit is used as medicine. In addition to the cultivation in provinces and regions, many provinces and regions in central and southern my country have also introduced and cultivated, especially in Ningxia and Tianjin, where there are many cultivations and high yields. After many researches, Ningxia has been positioned as the authentic production area of ​​medicinal wolfberry. However, due to the large number of production areas,...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Patents(China)
IPC IPC(8): G01N21/3563G01N21/55G06T7/136
Inventor 黄璐琦郭兰萍张小波李静
Owner INST OF CHINESE MATERIA MEDICA CHINA ACAD OF CHINESE MEDICAL SCI
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products