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Computer vision-based rice disease, pest and weed diagnostic method

A technology of computer vision, pests and weeds, applied in computer parts, calculations, instruments, etc., can solve problems such as environmental pollution, pesticide residues, etc.

Inactive Publication Date: 2014-01-01
HENAN UNIV OF URBAN CONSTR
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Problems solved by technology

Pests and diseases occur throughout the growth period of crops, and the annual loss is quite staggering. The application of chemical pesticides can greatly reduce agricultural losses, but the "three causes" problems, "three Rs" problems, pesticide residues, and environmental problems caused by non-standard use of chemical pesticides Pollution and other negative effects are gradually revealed

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  • Computer vision-based rice disease, pest and weed diagnostic method
  • Computer vision-based rice disease, pest and weed diagnostic method
  • Computer vision-based rice disease, pest and weed diagnostic method

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Embodiment Construction

[0010] The preferred embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings; it should be understood that the preferred embodiments are only for illustrating the present invention, rather than limiting the protection scope of the present invention.

[0011] 1) Establish a real-time diagnostic software system

[0012] Collect rice leaf disease samples of different disease stages, different habitats, and different varieties, and plant disease experts will identify the disease infected by each sample; then collect the disease symptom images; use image processing technology to realize automatic segmentation of disease spots, Extract various characteristic indexes of diseased spots, and establish a characteristic database corresponding to diseases; on this basis, select suitable characteristic parameters of diseased spots and an effective pattern recognition algorithm, and construct a real-time diagnosis model of rice dis...

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Abstract

The invention relates to a computer vision-based rice disease, pest and weed diagnostic method. The method comprises the following steps: collecting different varieties of rice leaf disease samples at different morbidity periods in different growth environments, and letting a plant disease expert identify the diseases infecting all the samples; then acquiring images of disease symptoms of the samples; realizing the automatic segmentation of disease spots by utilizing an image processing technology; extracting all characteristic indexes of the disease spots, and establishing a characteristic database corresponding to the diseases; on the basis, selecting proper disease spot characteristic parameters and an effective pattern recognition algorithm so as to establish a machine vision-based rice disease, pest and weed real-time diagnostic model.

Description

technical field [0001] The invention relates to a real-time diagnosis method and system based on machine vision, in particular to a method for diagnosing rice diseases, insect pests and weeds based on computer vision. Background technique [0002] With the rapid development of information science and technology, computer vision technology has been involved in the identification and diagnosis of plant diseases and insect pests, weed identification, seed quality inspection, product quality inspection and classification, etc., and has achieved a series of results. Pests and diseases occur throughout the growth period of crops, and the annual loss is quite staggering. The application of chemical pesticides can greatly reduce agricultural losses, but the "three causes" problems, "three Rs" problems, pesticide residues, and environmental problems caused by non-standard use of chemical pesticides Negative effects such as pollution are gradually revealed. Research on automatic dete...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62
Inventor 郭猛王延中于涛
Owner HENAN UNIV OF URBAN CONSTR
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