Method for nondistructive discriminating crop seed variety using visible light and near-infrared spectrum technology

A near-infrared spectrum and visible light technology, applied in the measurement of color/spectral characteristics, germination equipment, etc., can solve the problems of inorganic interference, inability to produce guidance, high cost, reduce system errors and human errors, improve measurement accuracy, reduce The effect of testing costs

Inactive Publication Date: 2006-09-13
ZHEJIANG UNIV
View PDF0 Cites 31 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This method has disadvantages that are difficult to overcome: first, the morphological characteristics are not easy to grasp, and it is easy to produce large errors when judging the seed variety with intuition
Second, it takes a long time to determine the purity of the seed variety, usually three months, and cannot quickly guide the production
The third is that the accuracy of the data obtained by wasting people, property and property is low
Electrophoretic identification is more accurate, but takes longer, usually 30 to 40 hours
The experimental process is cumbersome and complicated, and non-professionals are not competent; and it also consumes a lot of chemicals, so it is not suitable for online monitoring of samples
The chemical identification method also has many defects: it needs to consume a large amount of chemical agents, the cost of analyzing a sample is high, the time is long, and there are many interferences of inorganic substances, it is not suitable for batch analysis and online monitoring of samples

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
  • Method for nondistructive discriminating crop seed variety using visible light and near-infrared spectrum technology
  • Method for nondistructive discriminating crop seed variety using visible light and near-infrared spectrum technology
  • Method for nondistructive discriminating crop seed variety using visible light and near-infrared spectrum technology

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0034] Such as figure 1 As shown, the present invention includes:

[0035] 1) A method for identifying crop seed varieties based on the relationship between different varieties of crop seed samples and the visible light and near-infrared absorption spectra from the samples; the spectrometer is connected to the computer through A / D conversion through the data line interface; the light source uses a tripod Fix, adjust the overhead angle of the light source, connect the supporting power cord to an external power source; fix the spectrometer with a matching tripod to adjust its height and viewing angle; fix the positions of the light source, spectrometer and seed samples. The light source illuminates the crop seed samples contained in the sampling container. After the spectrometer is calibrated by the whiteboard, the reflected and scattered light from the sample is received; the spectral images of the crop seed samples are collected and converted into basic spectral data.

[0036]2) ...

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

A method of using visual light and near infrared spectrum to identify variety of crop seed nondestructively includes fixing halogen lamp on A - frame, using power supply wire to provide 220V AC power to spectrograph and light source as well as computer, connecting spectrograph to computer through data line for transmitting collected data of sample spectrum to computer, carrying out process and analysis on collected data by spectrum special software ASD View Spec ProV 2.14 and Unscramble V9.2 then feeding analyzed data back to information platform for displaying variety of tested sample.

Description

Technical field [0001] The invention relates to a method for testing seeds before sowing or planting, in particular to a method for non-destructively identifying crop seed varieties by using visible light and near-infrared spectroscopy technology. technical background [0002] The identification of crop varieties is an important issue in current agricultural production, crop breeding and seed inspection. Because the authenticity and purity of sown seed varieties are an important material basis for the development of high-quality agriculture. At present, it is difficult to identify varieties, and the annual economic losses caused by incorrect varieties and poor purity are huge. At present, in the identification of crop seed varieties, domestic and foreign standard methods are mainly morphological methods, fluorescence scanning identification methods, chemical identification methods and electrophoresis identification methods. [0003] The morphological method starts from the appear...

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 Applications(China)
IPC IPC(8): G01N21/31C12Q1/68A01C1/02
Inventor 何勇李晓丽鲍一丹
Owner ZHEJIANG UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products