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

Sugarcane bud intactness classification method

A classification method and integrity technology, applied in the direction of instruments, character and pattern recognition, computer components, etc., can solve the problems of inability to detect the integrity of seed buds, automatic elimination, and inability to guarantee the germination rate of newly planted sugarcane, etc.

Active Publication Date: 2016-01-13
GUANGXI UNIV
View PDF2 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The sugarcane mechanized planting technology that is vigorously promoted at present cannot realize the detection of the integrity of the seed buds and the function of automatically removing the sugarcane seeds with damaged seed buds, and thus cannot guarantee the germination rate of the newly planted sugarcane

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
  • Sugarcane bud intactness classification method
  • Sugarcane bud intactness classification method
  • Sugarcane bud intactness classification method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0046] The specific embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings, but it should be understood that the protection scope of the present invention is not limited by the specific embodiments.

[0047] Unless expressly stated otherwise, throughout the specification and claims, the term "comprise" or variations thereof such as "includes" or "includes" and the like will be understood to include the stated elements or constituents, and not Other elements or other components are not excluded.

[0048] A kind of sugarcane seed bud integrity classification method, comprises the following steps:

[0049] 1. Obtain the sugarcane image;

[0050] Three varieties of sugarcane seeds, Taitang No. 22, Guitang No. 42 and Yuetang No. 60, were selected as the research samples for the integrity of the seed buds, and the MVC360MF black and white camera was used to capture the images of the seed buds. In order to enhance the br...

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 present invention discloses a sugarcane bud intactness classification method. The method comprises the following steps of: (1) obtaining a sugarcane image; (2) clipping a bud area of the sugarcane image; (3) determining an effective classification feature of buds; (4) determining prior probabilities of two bud classifications, intact buds and broken buds, by using a training sample; (5) determining a class conditional probability density function of the bud classification feature; (6) calculating a posterior probability of the bud classification feature; and (7) determining a bud intactness classification rule according to Bayesian Decision Theory. The sugarcane bud intactness classification method provided by the present invention is high in classification accuracy rates which are all above 90%, thereby well proving that the bud intactness classification method provided by the present invention is reasonable and effective.

Description

technical field [0001] The invention relates to a method for classifying sugarcane seed buds, in particular to a method for classifying the integrity of sugarcane seed buds. Background technique [0002] Bayesian decision theory (Bayesian Decision Theory) is to use subjective probability estimation for some unknown states under incomplete information, then use Bayesian formula to correct the probability of occurrence, and finally use the expected value and revised probability to make an optimal decision. [0003] Guangxi is the largest sugarcane producing area in my country, and its output has exceeded 60% of the country's total output for many years. The sugarcane mechanized planting technology that is vigorously promoted at present cannot realize the function of detecting the integrity of the seed buds and automatically removing the sugarcane seeds with damaged seed buds, and then cannot guarantee the germination rate of the newly planted sugarcane. At present, the resear...

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): G06K9/62
CPCG06F18/24
Inventor 黄亦其尹凯黄媚章黄体森王小波罗昭宇
Owner GUANGXI 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