Method for determining pear ring spot resistance based on support vector machine classification algorithm

A technology of support vector machine and classification algorithm, which is applied in the field of determination of pear ring disease resistance based on support vector machine classification algorithm, can solve problems such as wrong classification of pear tree resistance, and achieve the effect of scientific judgment and improvement of work efficiency.

Pending Publication Date: 2021-11-09
NANJING AGRICULTURAL UNIVERSITY
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Problems solved by technology

However, when the lesion is irregular in shape, the obtained lesion diameter is prone to large measurement errors, resulting in errors in the classification of pear tree resistance.

Method used

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  • Method for determining pear ring spot resistance based on support vector machine classification algorithm
  • Method for determining pear ring spot resistance based on support vector machine classification algorithm
  • Method for determining pear ring spot resistance based on support vector machine classification algorithm

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Experimental program
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Embodiment 1

[0060] Embodiment 1, combining figure 1 :

[0061] S1: In this example, the leaves of 480 pear varieties were collected in the field and inoculated with ring spot. The ratio of training samples to testing samples is 2:1.

[0062] S2: Apply the Otsu segmentation threshold algorithm to calculate the optimal segmentation threshold of the binarized image, and use the optimal segmentation threshold to divide the image into the ring pattern lesion area and the non-lesion area;

[0063] S3: Image feature extraction of ring pattern lesions, including mean, standard deviation, kurtosis in statistical properties, and energy, correlation, contrast, and entropy in gray-scale co-occurrence matrix;

[0064] The eigenvectors for constructing ring-like lesions are:

[0065] v={MEAN,STD,KUR,ASM,COR,CON,ENTI}

[0066] In the formula: MEAN, STD, and KUR are the mean, standard deviation, and kurtosis of the gray histogram of the image, and ASM, COR, CON, and ENT are the energy, correlation, c...

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Abstract

The invention discloses a method for measuring pear ring spot resistance based on a support vector machine classification algorithm, and belongs to the technical field of image processing. According to the method, adopting an Otsu algorithm to determine the optimal threshold value of scab region segmentation, and segmenting and extracting the scab region with the maximum precision. And optimizing machine learning SVM algorithm parameters by adopting a particle swarm optimization (PSO), and establishing an optimal SVM classifier for pear ring rot. Calculating the equivalent circle diameter of the scab area by means of the reference object, calculating the disease grade according to the equivalent circle diameter of the scab, determining the disease index, and dividing the disease resistance. Compared with a traditional straight ruler cross measurement method, the method not only can be used for detecting the disease spot type, but also is more scientific and more accurate in judgment of the disease grade and the disease index. Meanwhile, a plurality of leaves can be detected, so that the working efficiency is greatly improved, and an efficient and practical method is provided for measuring the ring spot resistance of fruit trees such as pears and the like on a large scale.

Description

technical field [0001] The invention relates to the technical field of identification and evaluation of plant disease resistance and resource screening, in particular to a method for measuring pear tree ring spot resistance based on a support vector machine classification algorithm. Background technique [0002] Pear is one of the most widely planted fruit trees in the world. my country is also a big country in pear industry, and its cultivated area and output rank first in the world. In pear industry, disease is an important factor restricting the development of pear industry, seriously affecting the yield and quality of pear fruit. Among them, ring spot is one of the most serious diseases in pear production, caused by necrotic vegetative fungi (Botryosphaeria dothidea). Ring spot disease, also known as brown rot, water rot or rough skin disease, mainly occurs on pear leaves, branches and fruits. When the leaves of pear trees are attacked by the ring-shaped fungus, brown ...

Claims

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Application Information

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IPC IPC(8): G06K9/62G06T7/62G06T7/11G06T7/136G06N3/00G06Q50/02
CPCG06T7/62G06T7/11G06T7/136G06N3/006G06Q50/02G06T2207/30188G06F18/23213G06F18/2411G06F18/22
Inventor 张绍铃王云孙逊陈启明张镇武
Owner NANJING AGRICULTURAL UNIVERSITY
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