Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Grading method of wheat leaf rust based on infrared thermal imaging edge detection

A technology of infrared thermal imaging and edge detection, which is applied in image data processing, image analysis, image enhancement, etc., to achieve the effects of early detection of diseases, improvement of accuracy and stability, and improvement of intelligent management level

Inactive Publication Date: 2019-02-26
JIANGSU UNIV
View PDF2 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, there are few studies on crop disease classification using edge detection processing of infrared thermal imaging.

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
  • Grading method of wheat leaf rust based on infrared thermal imaging edge detection
  • Grading method of wheat leaf rust based on infrared thermal imaging edge detection
  • Grading method of wheat leaf rust based on infrared thermal imaging edge detection

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0033] 1. Sample cultivation and virus inoculation

[0034] The cultivation of wheat samples was carried out in the artificial intelligence growth room of the College of Agricultural Life and Environmental Sciences, University of Alberta North Campus, Canada. figure 1 shown in a. The setting conditions are as follows, temperature range: maximum 15℃, minimum 11℃; light: 12h during the day and 12h at night; light intensity: 10000lux, humidity range: 60-70%. The selected wheat variety is the Canadian spring wheat susceptible variety Peace. Spray inoculation when wheat grows to two true leaves, such as figure 1 Shown in b. The inoculation steps are: ① Wet the inner wall of the growth chamber with distilled water, and allow the wheat to equilibrate in a humid space for about 30 to 45 minutes. ②Prepare and configure leaf rust (Puccinia triticina) fungal spore spray. First, take out the vial containing orange-red powdery spores from the ultra-low temperature refrigerator, place it in ...

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 method for grading wheat leaf rust based on infrared thermal imaging edge detection processing, which relates to the technical field of wheat rust detection. Firstly, the infrared thermogram of the whole wheat sample was collected to calculate the average leaf temperature of healthy plants, incubated plants and symptomatic plants, respectively, and to find out the temperature change rule in the process of fungal invasion. Then the regions of infrared thermogram which were pretreated by histogram equalization and median filter were extracted from the infrared thermogram. The proportion of lesion area in the total thermal imaging area of the whole plant was calculated by dividing the temperature region, extracting the low temperature region and segmenting the threshold value. The correlation coefficient was 0.9755, RMSE was 9.79%, and the overall recognition rate was 90%. Compared with the general near-infrared detection method, the invention has the advantagesof fast detection speed and earlier detection of diseases.

Description

Technical field [0001] The invention relates to the technical field of detection of wheat rust, in particular to a method for grading wheat leaf rust by infrared thermal imaging edge detection processing. Background technique [0002] Wheat rust is a huge hazard to our country's wheat production. The rapid monitoring and classification of wheat rust is the basis for scientific production management, and it is also a prerequisite for early application of pesticides. Wheat is often attacked by diseases during the growth process, resulting in a reduction in yield, and in severe cases, it will never yield. There are about 200 kinds of wheat diseases officially recorded in the world. There are more than 60 kinds of wheat diseases reported in our country, and 38 kinds are common. The important ones are wheat rust (strip rust, leaf rust, stalk rust), powdery mildew, leaf blight, head blight , Total erosion, sheath blight, smut, leaf spot and root rot, etc. Among them, leaf diseases fr...

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
IPC IPC(8): G06T7/00G06T7/13G06K9/62
CPCG06T7/0002G06T7/13G06T2207/30168G06T2207/30188G06T2207/10048G06F18/2135G06F18/2411
Inventor 朱文静李林李晋阳刘继展魏新华毛罕平
Owner JIANGSU UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com