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

Corn seedling stage mechanical weeding identification method and device based on machine vision

A mechanical weeding and machine vision technology, applied in the field of agricultural engineering, can solve the problems of insufficient weed identification accuracy and real-time performance, and achieve the effect of simple method, increased feature extraction dimension, and simplified identification method.

Pending Publication Date: 2020-04-17
SHANXI AGRI UNIV
View PDF4 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Aiming at the various kinds of weeds in the seedling stage of corn, and the lack of accuracy and real-time performance of weed identification in the existing technology, the present invention discloses a high-precision, high-speed mechanical weeding recognition algorithm for corn seedling stage, and independent and efficient operation mechanical weeding device

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
  • Corn seedling stage mechanical weeding identification method and device based on machine vision
  • Corn seedling stage mechanical weeding identification method and device based on machine vision
  • Corn seedling stage mechanical weeding identification method and device based on machine vision

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0023] Provide specific embodiments below in conjunction with accompanying drawings.

[0024] Such as figure 1 As shown, a machine vision-based mechanical weeding recognition method for corn seedlings is operated according to the following steps,

[0025] a. The collected RGB image is binarized according to the color features, and the area where the green component is greater than the red component and the blue component is taken as the foreground area, that is, the green plant area, and the others are the background area, and then the binarized image Perform denoising processing and perform connected domain marking on the foreground region in the denoised image;

[0026] b. Convert the RGB model to the HSV model to obtain a saturation image and a chroma image respectively;

[0027] c. Establish a saturation energy model, define the saturation energy of an area as the sum of the squares of the deviations of the saturation and the saturation mean of all points in the area, us...

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 corn seedling stage mechanical weeding recognition method and device based on machine vision, and belongs to the field of agricultural engineering. The method comprises the following steps of acquiring images by an identification camera, transmitting the images to a processor; according to the corn seedling stage mechanical weeding recognition method based on machine vision, recognizing a corn plant area, measuring and calculating corn root position information and then collecting an executing mechanism to act, so that a rotary weeding knife with a notch rotates around the corn root, weeds around a corn plant are removed, and path navigation of a weeding device is achieved through a navigation camera. The invention provides a high-precision and high-speed mechanical weeding recognition algorithm, realizes autonomous and efficient operation of the weeding device, and has relatively high practical value.

Description

technical field [0001] The invention relates to a method and device for identifying mechanical weeding, belonging to the field of agricultural engineering, and in particular to a method and device for identifying mechanical weeding at the seedling stage of corn based on machine vision. Background technique [0002] Weeds are extremely harmful to the growth of crops. They compete with crops for fertilizer, light, water, and space, and are prone to breed diseases and insect pests, thereby reducing crop yield and quality. The existing weeding methods include artificial weeding, mechanical weeding, chemical weeding, biological weeding, flame weeding, electric weeding, radiation weeding and so on. Among them, mechanical weeding can not only effectively resist the use of pesticides and chemical fertilizers, meet the requirements of organic production systems and the general public for food safety and environmental protection, but also increase the air permeability and water permea...

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): G06T7/00G06T7/194G06T7/12G06T7/73G06T5/00A01M21/02
CPCG06T7/0002G06T7/194G06T7/12G06T7/73A01M21/02G06T5/70
Inventor 冯俊惠李志伟方休俊
Owner SHANXI AGRI 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