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Cucumber disease identification method and apparatus based on image information

A technology of disease identification and image information, which is applied in the field of system engineering and information, can solve problems such as low identification accuracy, affecting disease identification, and deep professional knowledge, so as to avoid subjectivity and limitations and improve accuracy.

Active Publication Date: 2016-08-10
CHINA AGRI UNIV
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  • Abstract
  • Description
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  • Application Information

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Problems solved by technology

The third is to rely on disease literature. Although this method is accurate, it requires deep professional knowledge.
The above three methods either have low identification accuracy or require deep professional knowledge. Subjectivity and limitations greatly affect the identification of diseases.

Method used

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  • Cucumber disease identification method and apparatus based on image information
  • Cucumber disease identification method and apparatus based on image information
  • Cucumber disease identification method and apparatus based on image information

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Embodiment Construction

[0056] 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.

[0057] figure 1 It is a flow chart of a method for identifying cucumber diseases based on image information in an embodiment of the present invention; refer to figure 1 , the method includes:

[0058] S101: Obtain the leaf disease image of the cucumber to be identified;

[0059] It can be understood that three kinds of digital video cameras, digital cameras and scanners can be used to collect the leaf disease images, but since the requirement of the disease images in this embodiment is that the resolution is above 1000*1000, therefore, with the camera All ordinary smart phones with different functions can meet the requirements. Since the location for collecting cucumber d...

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PUM

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Abstract

The invention discloses a cucumber disease identification method and apparatus based on image information, and relates to the fields of system engineering and information technology. The invention acquires a leaf disease image of a cucumber to be identified; carries out image segmentation for the leaf disease image to obtain segmented leaf patches; extracts features of the leaf patches to obtain disease feature information; carries out disease identification for the disease feature information according to a preset disease feature sample, to obtain the disease of the cucumber to be identified; and therefore, improves the accuracy of identification, and avoids subjectivity and limitation due to artificial identification.

Description

technical field [0001] The invention relates to the fields of system engineering and information technology, in particular to a cucumber disease identification method and device based on image information. Background technique [0002] Daily vegetables are very important economic crops, especially after joining WTO, vegetable production is an industry with international competitive advantages in my country, and vegetable production is an important part of the "vegetable basket" project. With the improvement of living standards, people have higher and higher requirements for the quality of vegetables, but vegetable diseases are an important factor affecting their yield and quality, because some agricultural producers cannot make timely decisions on the diseases that occur during the growth of crops. , Accurate judgment, the annual output loss due to pests and diseases is as high as 20% to 30%, and what cannot be ignored is the quality loss and market loss of vegetables. And ...

Claims

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Application Information

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IPC IPC(8): G06K9/62G06K9/40G06K9/46G06T7/00
CPCG06T2207/10024G06T2207/30188G06V10/30G06V10/443G06V10/50G06V10/422G06V10/56G06F18/23213G06F18/2411
Inventor 傅泽田毛富焕张领先郭蕾李鑫星吕雄杰温皓杰刘威麟袁钰邢畅
Owner CHINA AGRI UNIV
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