Machine vision based real-time diagnosis method and system of vegetable leaf diseases

A technology of real-time diagnosis and machine vision, applied in horticultural methods, computer parts, botany equipment and methods, etc., to achieve real-time diagnosis, reduce detection costs, and reduce production costs

Active Publication Date: 2012-02-01
INST OF VEGETABLE & FLOWERS CHINESE ACAD OF AGRI SCI
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Although it does not consider the complexity of factors such as the complex environment in the field, the

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  • Machine vision based real-time diagnosis method and system of vegetable leaf diseases
  • Machine vision based real-time diagnosis method and system of vegetable leaf diseases
  • Machine vision based real-time diagnosis method and system of vegetable leaf diseases

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[0031] The present invention will be further described below with reference to the drawings and embodiments.

[0032] The system of the invention consists of an image acquisition hardware part and a disease automatic diagnosis software part.

[0033] Such as figure 1 As shown, the hardware part of the present invention includes a light box 1, four light source supports 2, four light sources 3, a round hole on the top of the box 4, a digital camera 5, a camera fixing rod 6, an optical lens 7, a polarizer 8, and a side door of the box. 9. Stage 10, computer 11; four light source brackets 2 are installed on the four sides of the top of the light box 1. The four light source brackets 2 can be adjusted to the same height and fixed on the top of the light box 1, and the four light sources 3 are fixed to their respective On the light source bracket 2, the camera fixing rod 6 is installed in the center of the outer top surface of the light box 1, the digital camera 5 is fixed on the camera...

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Abstract

The invention discloses a machine vision based real-time diagnosis method and system of vegetable leaf diseases. The system comprises a disease image acquiring hardware part and a real-time diagnosis software part, wherein the image acquiring hardware part consists of a lighting box, a light source bracket, a light source, a round hole at the top of a box body, a digital camera, a camera fixing rod, an optical lens, a polarizer, a box body side door, an objective table and a computer. The method comprises the following steps: acquiring the symptom image of the leaf disease of vegetable to be detected; carrying out image treatment and scab division by utilizing real-time diagnosis software; acquiring the characteristic indexes of scab, such as color, texture and shape; and carrying out real-time diagnosis on the vegetable leaf disease by utilizing a disease identification model. The real-time diagnosis method and system can be directly used for detecting diseases in filed, plastic houses or greenhouses so as to achieve the rapid, stable and real-time diagnosis of various vegetable leaf diseases; no chemical reagent is used, therefore detection cost is reduced and no environment pollution is caused. The real-time diagnosis method and system can be well applied to disease monitoring.

Description

technical field [0001] The invention relates to a machine vision-based real-time diagnosis method and system, in particular to a machine vision-based real-time diagnosis method and system for vegetable leaf diseases. Background technique [0002] Vegetable diseases have always been the main factor restricting vegetable production. There are a large number of vegetable diseases, and the symptoms caused by them are diverse and complex. The occurrence of diseases not only leads to a decline in vegetable yield and quality, but also causes a large amount of pesticide input and an increase in control costs, increases production costs, and affects the pollution-free greenness of vegetables. Modernized production also creates certain obstacles to export trade, and there are potential environmental and health risks at the same time. [0003] The existing diagnostic methods for vegetable diseases can be summarized as follows: one is the traditional pathological method that has been m...

Claims

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Application Information

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IPC IPC(8): A01G7/00G01N21/84G06K9/62
Inventor 李宝聚柴阿丽石延霞岑喆鑫谢学文
Owner INST OF VEGETABLE & FLOWERS CHINESE ACAD OF AGRI SCI
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