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

Rapid apple variety identification method based on hyperspectral imaging

A hyperspectral imaging and hyperspectral image technology, which is applied in the field of rapid identification of apple varieties based on hyperspectral imaging, can solve the problems that the rapid identification technology of apple varieties has not yet been reported.

Inactive Publication Date: 2017-01-04
NORTHWEST A & F UNIV
View PDF6 Cites 21 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, there is no hyperspectral imaging technology applied to the identification of apple varieties, and there is no report on the rapid identification technology of apple varieties.

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
  • Rapid apple variety identification method based on hyperspectral imaging
  • Rapid apple variety identification method based on hyperspectral imaging
  • Rapid apple variety identification method based on hyperspectral imaging

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0041] The technical solution of the present invention will be described in further detail below in conjunction with the accompanying drawings and specific embodiments.

[0042] In the present invention, three varieties of apples with crossover in the market period and all colored red are used as test materials, and the spectral data of each apple are obtained by near-infrared hyperspectral imaging one by one. , extract and analyze the average spectral reflectance of each apple region of interest (ROI), and combine the K-proximity algorithm and the modeling method of the support vector machine to realize the classification and identification of apple varieties. This method is a more accurate, The new and simpler method, and the collection of different near-infrared hyperspectral spectra of various varieties can also be used to enrich the personality data of apple varieties, as the basis for fingerprint identification and variation identification.

[0043] 1 Materials and methods...

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 rapid apple variety identification method based on hyperspectral imaging. The method comprises the following steps: obtaining an average reflection spectral value of three varieties of samples at a near-infrared full-wave band by adopting a near-infrared hyperspectral technology by virtue of a series of image processing, establishing a mathematic model of a K nearest algorithm by virtue of a Metalab function and an operational command, calculating by using the model, so that an apple variety can be accurately identified, and the highest identification accuracy by using the K nearest algorithm can reach 100 percent. The method is a novel method which can more accurately, more conveniently and rapidly identify the apple variety; and by acquiring the different near-infrared hyperspectral spectrum of various varieties, the individual data of the apple variety can be enriched and used as evidence for fingerprint identification and mutation identification.

Description

technical field [0001] The invention relates to a method for quickly identifying varieties, in particular to a method for quickly identifying apple varieties based on hyperspectral imaging. Background technique [0002] Apple occupies an important position in the world's fruit market and is a "all-round healthy fruit" favored by consumers. my country's apple cultivation area and output rank first in the world, and it attaches great importance to the breeding and introduction of improved varieties, so that new varieties emerge in the market one after another. Some varieties have large differences in maturity, shape, color, and flavor, and are easy to distinguish in terms of sensory perception; others are relatively similar in maturity, size, coloring, and taste, and the accuracy of non-professional evaluation is not high, and it is even more difficult to identify them after harvest. Fast identification on the processing pipeline. Due to the large differences in field cultiv...

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): G01N21/359
CPCG01N21/359
Inventor 马惠玲蔡骋王若琳任小林
Owner NORTHWEST A & F 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