Method for determining wheat head scab levels based on cloud model

A technology of wheat gibberellum and determination method, which is applied in measurement devices, material analysis by optical means, instruments, etc., can solve the problems of unreasonable classification, lack, and unknown changes in disease process, and achieve the effect of alleviating limitations.

Active Publication Date: 2019-01-11
安徽析数科技有限公司
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Problems solved by technology

For example: the detected diseased ear rate is 25.8%. According to the grading standard of the normative standard, the single wheat plant belongs to level 2, but the value is very close to 25%, and the grading is unreasonable; Research on head blight always removes it from the living body, and some even strip it into wheat ears. After a series of identification and detection methods, the disease ear rate is counted. However, these are all detections in a fixed state. It has been determined that the change of the disease process is unknown, which is equivalent to the lack of a dynamic parameter to explain the change of the disease process

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  • Method for determining wheat head scab levels based on cloud model
  • Method for determining wheat head scab levels based on cloud model
  • Method for determining wheat head scab levels based on cloud model

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Embodiment Construction

[0055] Specific embodiments of the present invention will be described in detail below. It should be understood that the specific embodiments described here are only used to illustrate and explain the present invention, and are not intended to limit the present invention.

[0056] A method for judging wheat scab disease grade based on cloud model, comprising the following steps:

[0057] S1. Extraction of diseased areas

[0058] S11, collecting the initial image of wheat ears in the field, and obtaining the initial processing image through denoising;

[0059] S12, using the Otsu method to perform image segmentation on the a component of the pre-processed image in the Lab space, and obtain the a component image such as figure 2 shown in;

[0060] Compared with other color spaces, Lab has the widest range of color representation and is not affected by light. The a component in the Lab color space has obvious peaks and valleys when drawing the color histogram. Compared with t...

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Abstract

The invention belongs to the technical field of monitoring of crop diseases and in particular relates to a method for determining wheat head scab levels based on a cloud model. The method comprises the following steps: extracting disease areas, constructing color characteristics, generating a gibberella saubinetii color characteristic cloud model, establishing a comprehensive evaluation model andanalyzing the evaluation model. By utilizing the relationship between color changes in the disease areas and wheat diseased panicle rate levels in the gradual pathologic process of wheat head scab, the color characteristic cloud of the disease areas is obtained by combining with three numerical characteristics of the cloud model, the wheat head scab levels are subjected to non-rigid diversion by utilizing the cloud model, and comprehensive evaluation is realized.

Description

technical field [0001] The invention belongs to the technical field of crop disease monitoring, and in particular relates to a method for judging wheat scab disease grade based on a cloud model. Background technique [0002] The rapid development of computer technology has improved the speed and efficiency of automatic detection and identification of plant diseases. Such as hyperspectral technology, image processing technology, etc. For example, Liang Kun, Du Yingying and others used a hyperspectral imager to analyze the spectrometer information reflectance characteristics of healthy wheat grain images and head blight wheat grain images respectively. Eliminate spectral image noise through a series of spectral preprocessing methods, then identify texture features, morphological parameters, and average gray feature bands, and finally establish an identification model. Shao Qing, Zhang Nan and others denoised the image of wheat leaf diseases, and then extracted the shape feat...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N21/88
CPCG01N21/8851G01N2021/8466G01N2021/8883G01N2021/8887
Inventor 许高建沈杰李绍稳吴国栋涂立静林晨吴云志傅运之冯宇翔王帅张蕴
Owner 安徽析数科技有限公司
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