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

Maize variety distinguishing method and system based on three-dimensional phenotype of maize tassel

A technology of variety distinction and three-dimensional table, applied in image analysis, image data processing, 3D modeling, etc., can solve the problem of accurate distinction of difficult corn varieties, and achieve the goal of accelerating the process of corn breeding, improving the efficiency and level of breeding, and low cost Effect

Active Publication Date: 2018-11-23
BEIJING RES CENT FOR INFORMATION TECH & AGRI
View PDF8 Cites 5 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The present invention overcomes the problem in the prior art that corn varieties are only distinguished based on the two-dimensional phenotypic information of corn tassels, and the two-dimensional phenotypic information of corn tassels of different corn varieties may often be the same, making it difficult to accurately distinguish corn varieties problem, providing a method and system for distinguishing maize varieties based on the three-dimensional phenotype of maize tassels

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
  • Maize variety distinguishing method and system based on three-dimensional phenotype of maize tassel
  • Maize variety distinguishing method and system based on three-dimensional phenotype of maize tassel
  • Maize variety distinguishing method and system based on three-dimensional phenotype of maize tassel

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0048] The specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. The following examples are used to illustrate the present invention, but are not intended to limit the scope of the present invention.

[0049] figure 1 It is a schematic diagram of the overall process of a method for distinguishing corn varieties based on the three-dimensional phenotype of corn tassels in an embodiment of the present invention, as shown in figure 1 As shown, the invention provides a method for distinguishing maize varieties based on the three-dimensional phenotype of maize tassels, comprising:

[0050] S1, mark multiple feature points around the target corn tassel, and collect images of the target corn tassel under multiple viewing angles;

[0051] S2, constructing a three-dimensional model of the target corn tassel according to the images under the multiple viewing angles;

[0052] S3....

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 provides a maize variety distinguishing method and system based on a three-dimensional phenotype of a maize tassel. The method comprises the following steps: marking a plurality of feature points around a target maize tassel, and collecting images of the target maize tassel at multiple viewing angles; constructing a three-dimensional model of the target maize tassel according to theimages under the multiple viewing angles; obtaining three-dimensional phenotype parameters of the target maize tassel based on three-dimensional model, wherein the three-dimensional phenotype parameters comprise an outer envelope volume, a total area of branch vertical projection, a plane aggregation degree, a space aggregation degree, a spindle variation coefficient, a crown-height ratio, a head-stem ratio and a gravity center; and distinguishing the maize variety of the target maize tassel according to the three-dimensional phenotype parameters. According to the method and system, the three-dimensional phenotype parameters of the maize tassel are scientifically from the three-dimensional perspective, and the maize varieties are accurately distinguished by using the difference of the three-dimensional phenotype parameters of different maize varieties, which is conducive to accelerating the maize breeding progress, and effectively improving the breeding efficiency and level.

Description

technical field [0001] The invention relates to the technical field of three-dimensional image processing, and more specifically, relates to a method and system for distinguishing corn varieties based on three-dimensional phenotypes of corn tassels. Background technique [0002] A corn tassel is a branching structure on top of a pollen-producing plant. After the male florets mature, the pollen falls with the wind to the corn silk of the ear of corn to complete pollination. The size and morphology of tassels affect pollen production, which in turn affects the maintenance of inbred lines, hybrid progeny and subsequent agricultural yield. Breeding hybrids with moderate tassel size is a trend in maize breeding. [0003] At present, the extraction of plant phenotype information by conventional breeding methods mainly relies on manual sampling and measurement. This process is not only time-consuming and laborious, but also cannot guarantee the accuracy of the measurement results...

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): G06T17/00G06T7/00G06T7/60
CPCG06T7/0002G06T7/60G06T17/00G06T2207/30188
Inventor 杨贵军杨浩杨小冬李振海徐新刚赵晓庆
Owner BEIJING RES CENT FOR INFORMATION TECH & AGRI
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