Field disease degree image identification method based on android

A technology of image recognition and disease degree, applied in image analysis, image data processing, input/output process of data processing, etc. The effect of improving efficiency

Inactive Publication Date: 2014-05-07
HAINAN DEPART & ENTRY INSPECTION & QUARANTINE BUREAU P R CHINA
View PDF3 Cites 10 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0008] The purpose of the present invention is to overcome the deficiencies of the prior art, to provide an accurate, reliable and fast field disease degree image recognition method based on android. Low professional skill requirements will greatly improve the efficiency of field plant disease analysis

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
  • Field disease degree image identification method based on android
  • Field disease degree image identification method based on android
  • Field disease degree image identification method based on android

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0054] The present invention will be further described below in conjunction with specific examples.

[0055] The field disease degree image recognition method based on android described in this embodiment, at first, carries out JAVA programming to the intelligent terminal of application android operating system, obtains required recognition system operation interface, can collect leaf image, can analyze leaf region area, It can analyze the area of ​​multiple leaf spot areas, and can automatically analyze the percentage of the leaf spot area to the leaf area, that is, it can automatically calculate the severity of plant diseases; The image of the leaves in the field; secondly, outline the leaf area and diseased spot area in the leaf image through human-computer interaction; finally, automatically calculate the area of ​​the leaf area and diseased spot area (can contain multiple diseased spots) through image analysis, And calculate the percentage of lesion area, so as to get the...

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 field disease degree image identification method based on an android. Firstly, performing JAVA programming on an intelligent terminal which applies an android operation system and obtaining a needed identification system operation interface; when a field disease survey needs to be carried out, using the built-in shooting function of the intelligent terminal and obtaining images of field blades; then through a man-machine interaction method, outlining blade areas and scab areas of the blade images; and at last, through image analysis, automatically calculating areas of the blade areas and the scab areas and calculating the percentage of the scab areas so that severity of plant disease is obtained. The method can not only solve a problem of on-site precise identification of plant disease severity, but also has low demands for professional skills of operation personnel so that efficiency of field plant disease analysis can be improved significantly.

Description

technical field [0001] The invention relates to the technical field of field disease investigation, in particular to an android-based field disease degree image recognition method. Background technique [0002] The field investigation of plant diseases is an important work to understand the occurrence of plant diseases, and it can provide important first-hand information for the study and understanding of the law of plant disease occurrence, and then for plant quarantine, plant disease prevention and control, plant disease prediction, and yield loss estimation. material. The traditional field survey of plant diseases is to select multiple representative plots in the field, select points and take samples, and estimate the severity of plant diseases by analyzing the damage degree of plants or organs, such as the percentage of diseased spot area on leaves , for example, in the estimation of rice bacterial blight loss, the damage area of ​​leaves is used as the basis for assess...

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 Applications(China)
IPC IPC(8): G06T7/00G06F3/0484
Inventor 袁之报邓继忠李山林伟森
Owner HAINAN DEPART & ENTRY INSPECTION & QUARANTINE BUREAU P R CHINA
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products