Unlock instant, AI-driven research and patent intelligence for your innovation.

Plant disease detection method based on chlorophyll fluorescence and imaging technology

A technology of chlorophyll fluorescence and plant disease, which is applied in the field of plant disease detection, can solve the problem of lack of distinguishing between healthy and diseased plants and rare plants, and achieve the effect of uniform illumination

Inactive Publication Date: 2016-08-24
ZHEJIANG UNIV
View PDF10 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The current invention of detection devices for plant health status is mainly aimed at analyzing the content of plant nutrient elements, thereby judging whether the plants are healthy, and lacks a detection device for distinguishing healthy plants from diseased plants threatened by viruses and germs
Moreover, most of the existing devices for disease detection use visible light imaging or multispectral imaging technology, and there are few detection methods that combine chlorophyll fluorescence and imaging technology.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Plant disease detection method based on chlorophyll fluorescence and imaging technology
  • Plant disease detection method based on chlorophyll fluorescence and imaging technology
  • Plant disease detection method based on chlorophyll fluorescence and imaging technology

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0028] The present invention will be further described below in conjunction with drawings and embodiments.

[0029] Such as figure 1 As shown, the present invention comprises light box 1, light source 2, computer 3, color high-speed camera 4, the collection platform 7 that places living plant blade, detects that living plant blade is placed near the central position of collection platform 7; Upwards, the collection platform 7, the light source 2 and the color high-speed camera 4 are installed coaxially successively, the adjustable lens 5 on the color high-speed camera 4 faces downward, and the optical filter 6 is housed on the adjustable lens 5, and the color high-speed camera 4 passes through the Camera Link Line is connected with computer 3, and the frame rate of color high-speed camera 5 is 30fps, and computer 3 is equipped with image acquisition card and acquisition software, carries out image acquisition, processing, analysis and display to detection object, and light box...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a plant disease detection method and device based on chlorophyll fluorescence and imaging technology. The device is placed in the light box, and the blue LED light is used as the excitation light source. It has an equilateral triangle structure, which can achieve stable and uniform illumination, and is used to stimulate the chlorophyll fluorescence of plant leaves. The color high-speed camera and the adjustable lens front red filter Slices are used to filter out interference light and collect chlorophyll fluorescence images. Through the steps of image preprocessing, image segmentation and feature extraction, the leaf can be separated from the background, and the sub-image of the pixel area centered on the main vein can be obtained, and the texture features and vein feature parameters of the leaf can be calculated, and finally calculated by the classifier , plants can be classified into two categories, healthy and diseased. The invention can be used to stimulate chlorophyll fluorescence of plant leaves, acquire chlorophyll fluorescence images of plant leaves, calculate texture features and leaf vein feature parameters, and realize plant disease detection.

Description

technical field [0001] The invention relates to a method and device for detecting plant diseases, in particular to a method and device for detecting plant diseases based on chlorophyll fluorescence and imaging technology. Background technique [0002] The substances that can excite fluorescence in plants are mainly polyphenols and photosynthetic pigments, including carotenoids and chlorophyll. Under the excitation of one or more bands of excitation light, fluorescence spectra in different bands can be obtained. [0003] The development of excitation light source is from xenon lamp, halogen lamp to ultraviolet lamp and laser. In recent years, LED has become a new type of light source due to its advantages of low energy consumption and long life. Moreover, LEDs will not cause burn damage to plants. At present, there are growth boxes for preventing plant diseases based on LED light sources (patent application publication number: CN102014608A). [0004] Plants have the strong...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Patents(China)
IPC IPC(8): G01N21/64
Inventor 蒋焕煜卢劲竹崔笛周鸣川胡杨
Owner ZHEJIANG UNIV