Method and system for acquiring disease severity of leaf under open field environment

A disease degree and blade technology, applied in the field of agricultural engineering, can solve problems such as the inability to calculate the degree of disease damage, and achieve the effects of facilitating docking and technology integration, reducing costs, and avoiding mis-segmentation

Active Publication Date: 2014-05-07
BEIJING RES CENT FOR INFORMATION TECH & AGRI
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, in the open field environment, these methods will inevitably lead to mis-segmentation, and cannot accurately calculate the degree of disease damage in the open field environment.

Method used

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  • Method and system for acquiring disease severity of leaf under open field environment
  • Method and system for acquiring disease severity of leaf under open field environment
  • Method and system for acquiring disease severity of leaf under open field environment

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0058] The embodiment of the present invention proposes a method for obtaining the degree of leaf disease in an open field environment, see figure 1 ,include:

[0059] Step 101: Taking photos of the blades with a black flat panel as the background;

[0060] Step 102: Divide the image into several regions by extracting edge features from the grayscale image of the photo;

[0061] Step 103: find the leaf area and lesion area from the area according to the color feature in the color image of the photo;

[0062]Step 104: Determine the disease degree of the leaf according to the number of lesion areas and the area ratio of the lesion area to the leaf area.

[0063] The scenario considered in this method is the diseased flora in the open environment of the countryside, and there are several diseased spots of specific colors on the leaves.

[0064] First, it is necessary to take pictures of the leaves to be inspected. In order to strengthen the color difference and reduce the inf...

specific example

[0082] Finally, the disease degree of the leaf is judged according to the number of found lesion areas and the area ratio of the lesion area to the leaf area. After obtaining the number and area of ​​lesion areas, the disease degree of the leaf can be obtained according to the specific disease degree identification standard. Specific examples of disease classes are as follows:

[0083] Grade 0: no lesion;

[0084] Grade 0.1: It does not belong to grade 0, with four or less lesions, and the diseased area is less than or equal to 5%;

[0085] Grade 0.5: Not belonging to grade 0.1, with eight or less lesions, and the diseased area is less than or equal to 10%;

[0086] Grade 1: does not belong to grade 0.5, and the diseased area is greater than 10% and less than or equal to 25%;

[0087] Grade 2: It does not belong to grade 1, and the diseased area is greater than 25% and less than or equal to 50%;

[0088] Grade 3: It does not belong to Grade 2, and the diseased area is grea...

Embodiment 2

[0094] The embodiment of the present invention proposes a leaf disease degree acquisition system in an open field environment, see Figure 6 , the system consists of:

[0095] The camera module 601 is used to take pictures of the blades with a black flat panel as the background;

[0096] The image division module 602 is used to divide the image into several regions by extracting edge features in the grayscale image of the photo;

[0097]The area judging module 603 is used to find the leaf area and lesion area from the area according to the color features in the color image of the photo;

[0098] The disease degree judging module 604 is used for judging the disease degree of the leaves according to the number of lesion areas and the area ratio of the lesion areas to the leaf area.

[0099] Wherein, the image division module includes: a grayscale conversion unit for converting the photo into a grayscale image; an edge point extraction unit for extracting edge points in the gra...

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Abstract

The invention relates to agricultural engineering and particularly relates to a method and a system for acquiring the disease severity of a leaf under an open field environment. The method comprises the following steps: taking a picture of a leaf against a black flat plate; extracting edge features in a gray image of the picture to divide the image into a plurality of regions; finding out leaf regions and diseased spot regions from the regions according to color features in a color image of the picture; and judging the disease severity of the leaf according to the number of the diseased spot regions and the area ratio of the diseased spot regions to the leaf regions. The disease severity of a leaf can be accurately calculated under an open field environment.

Description

technical field [0001] The invention relates to agricultural engineering, in particular to a method and system for acquiring leaf disease degrees in an open field environment. Background technique [0002] With the application and development of machine vision technology, it is possible to use image processing technology to process, segment, and calculate crop disease images, thereby realizing automatic calculation of disease damage. Therefore, machine vision technology is an important automatic calculation of disease damage. The method has attracted people's attention day by day and has been widely used in the field of plant protection. [0003] The number of diseased spots and the proportion of diseased spots on crops are an important basis for disease damage and control decisions, and are also key information for precise spraying. Compared with manual methods, the use of machine vision to automatically obtain the number of lesions and the proportion of lesion areas can n...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00
Inventor 张水发王开义潘守慧刘忠强杨锋
Owner BEIJING RES CENT FOR INFORMATION TECH & AGRI
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