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

Recognition method for tender leaves of tea tree based on EGC concentration difference

An identification method, a technology of tea tree fresh leaves, applied in the direction of measuring devices, material analysis through optical means, instruments, etc., can solve the problems of no system, not well applicable to the production environment, etc., achieve high accuracy, shield background interference , the effect of improving adaptability

Inactive Publication Date: 2017-06-30
ZHEJIANG UNIV
View PDF4 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] As for the intelligent and mechanized picking of famous and high-quality tea, it is basically still in the theoretical stage, and there is no system that can be applied to actual production.
This is mainly limited by the current tea picking part recognition system based on the color and shape characteristics of young leaves, which cannot be well adapted to complex production environments, such as changes in weather, sunshine, and different growth states of tea trees, etc.

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
  • Recognition method for tender leaves of tea tree based on EGC concentration difference
  • Recognition method for tender leaves of tea tree based on EGC concentration difference
  • Recognition method for tender leaves of tea tree based on EGC concentration difference

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0036] Firstly, 30 fresh leaves of 6 leaf positions of 3 varieties of tea trees, namely Juhuachun, Zhenong 25 and Yingshuang, were collected, totaling 3*6*30=540 pieces, and these tea leaves were divided into 54 samples according to the types of tea trees and leaf positions. That is, 10 fresh leaves per sample were scanned with a hyperspectral imager (ImSpector V10E, Spectral Imaging Ltd., Oulu, Finland) to scan the hyperspectral images of the leaves. After scanning, the fresh leaves were freeze-dried for 24 hours and ground into powder , using a high performance liquid chromatograph (Shimadzu LC-20, Japan) to measure the EGC concentration of each sample, and the statistical results of the EGC concentration values ​​of the leaves are shown in Table 1.

[0037] Table 1 EGC statistical results (J means Chrysanthemum Spring, Z means Zhenong 25, Y means Yingshuang)

[0038]

[0039] The significant difference of EGC concentrations in different leaf positions of different variet...

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 recognition method for tender leaves of a tea tree based on an EGC concentration difference. The method comprises the following steps of: (1) acquiring the reflectivity of tea fresh leaves at a characteristic wave band; (2) acquiring an EGC concentration of the tea fresh leaves based on a relationship expression of catechinic acid EGC (EGC for short) in the tea leaves and the reflectivity of the characteristic wave band; and (3) recognizing the tender leaves of the tea tree based on an EGC concentration threshold value of the tender leaves of the tea tree. The recognition method for the tender leaves of the tea tree based on EGC concentration difference can recognize old leaves and fresh leaves of the tea tree, and is high in accuracy, strong in interference resistance and good in adaptability.

Description

technical field [0001] The invention relates to the field of tea picking and processing, in particular to a method for identifying young tea leaves. Background technique [0002] Tea picking is a labor-intensive labor in tea production, which generally accounts for more than 50% of the management workload of tea gardens. However, most of the tea areas in my country focus on the production of famous and high-quality tea, which requires high picking accuracy. To meet the standard of one bud and two leaves, for example, tens of thousands of buds need to be picked to make one kilogram of premium Junshan Silver Needle dry tea. [0003] With the continuous development of the economy, a large number of rural laborers have transferred to the secondary industry and the tertiary industry, and many tea areas have experienced labor shortages. In addition, the production cycle of famous and high-quality tea is short. According to the agricultural proverb, "tea is a season grass, it is a ...

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
IPC IPC(8): G01N21/552
CPCG01N21/552
Inventor 李晓丽魏玉震何勇
Owner ZHEJIANG UNIV
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

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com