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Method for classifying sugarcane sprout integrity

A classification method and integrity technology, applied in the direction of instruments, calculations, characters and pattern recognition, etc., can solve problems such as the inability to guarantee the germination rate of newly planted sugarcane, the inability to realize automatic elimination, and the inability to realize the integrity detection of seed buds, etc., to achieve classification Reasonable method and high classification accuracy

Active Publication Date: 2019-09-17
GUANGXI UNIV
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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

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  • Method for classifying sugarcane sprout integrity
  • Method for classifying sugarcane sprout integrity
  • Method for classifying sugarcane sprout integrity

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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...

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Abstract

The invention discloses a sugarcane bud integrity classification method, comprising the following steps: (1) acquiring a sugarcane image; (2) intercepting the bud area of ​​the sugarcane image; (3) determining effective classification features of the bud; (4) Determine the prior probability of intact and damaged buds from the training samples; (5) determine the class conditional probability density function of the classification characteristics of the buds; (6) calculate the posterior probability of the classification characteristics of the buds; (7) The classification rules of seed bud integrity are determined by the Smith decision theory. The method for classifying the integrity of sugarcane seed buds of the present invention has a high classification accuracy rate of over 90%, fully proving that the method for classifying the integrity of seed buds of 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 is to use subjective probability estimation for some unknown states under incomplete information, then use Bayesian formula to modify the probability of occurrence, and finally use the expected value and modified 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 research on ensuring the integr...

Claims

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Application Information

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Patent Type & Authority Patents(China)
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
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