Unmanned aerial vehicle pest detection method

A detection method, technology of pests, applied in the direction of neural learning methods, computer parts, instruments, etc.

Active Publication Date: 2020-04-28
CHONGQING NORMAL UNIVERSITY
View PDF11 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Some drones are now used in the agricultural field, such as drone spraying pesticides, drone sowing, etc., but precise spraying by drones according to the location and density of pests is a problem that needs to be solved. Manual observation of pests

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
  • Unmanned aerial vehicle pest detection method
  • Unmanned aerial vehicle pest detection method
  • Unmanned aerial vehicle pest detection method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0054] The present invention will be described in detail below in conjunction with the drawings.

[0055] This embodiment discloses a pesticide spraying drone, which includes a body 1, a propeller 2 connected to the body 1, and a control device is provided on the body to control the operation of the drone. The propeller 2 rotates to provide the drone with Flight dynamics. The body of the existing unmanned aerial vehicle is connected with a medicine box. The medicine box is equipped with liquid medicine. The bottom of the medicine box is provided with a spout. The liquid medicine is sprayed from the spout due to the action of gravity or a pump. The liquid is easy to slosh, and with the consumption of the liquid, the spraying becomes thinner and the spraying is uneven. If a pump is used, on the one hand, the weight of the drone will be heavier and more electricity will be consumed. It is easy to block when spraying.

[0056] The body of the present invention is connected with a med...

Embodiment 2

[0063] Embodiment 2: This embodiment discloses a pest detection method. When the drone of the present invention sprays pesticides, the pest detection method determines the distribution of pests. The drone includes a pest detection system. When the system realizes its functions, the following methods are executed:

[0064] Obtain a video of the area to be detected, and the video is obtained by a camera that is not followed by a human;

[0065] Obtain the residual area based on the previous frame image and the next frame image of the current frame image in the pest video;

[0066] Fusing the residual area with the current frame image to obtain a fused current frame image;

[0067] High-pass filtering the fused current frame image to obtain a high-frequency current frame image;

[0068] Performing low-pass filtering on the fused current frame image to obtain a low-frequency current frame image;

[0069] Fusing the high-frequency current frame image and the low-frequency frame image to obta...

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 an unmanned aerial vehicle pest detection method, which belongs to the field of agricultural unmanned aerial vehicles. The method comprises: performing target detection on a current frame image based on a first convolutional neural network to obtain a current frame target area; performing pooling processing on the composite current frame image for at least three times to obtain fifth output data; performing convolution processing on the fifth output data for at least two times to obtain sixth output data; performing pooling processing and convolution processing on the sixth output data to obtain seventh output data; fusing the sixth output data and the seventh output data to obtain eighth output data; performing pooling processing and convolution processing on the eighth output data for at least two times to obtain ninth output data; classifying the ninth output data to obtain the composite target area; and if the distance between the current frame target area and the composite target area is smaller than a set threshold, obtaining an area where the pests are located.

Description

Technical field [0001] The invention relates to the field of drone pest detection. Background technique [0002] The unmanned aircraft is abbreviated as "unmanned aerial vehicle", which is an unmanned aircraft operated by radio remote control equipment and self-provided program control devices. There is no cockpit on board, but equipment such as autopilot and program control devices are installed. The personnel on the ground, on the ship or the remote control station of the mother aircraft use radar and other equipment to track, locate, remotely control, remotely measure and digitally transmit it. It can take off like an ordinary airplane under radio remote control or launch with a booster rocket, or it can be carried into the air by a parent plane for flight. When recovering, it can be automatically landed in the same way as an ordinary aircraft landing process, or it can be recovered by remote control using a parachute or block. Can be used repeatedly. It is widely used in ...

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): G06K9/00G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06V20/41G06N3/045G06F18/256
Inventor 李旭东
Owner CHONGQING NORMAL UNIVERSITY
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

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap