Unmanned aerial vehicle pesticide spraying system based on a convolutional neural network chip

A convolutional neural network and pesticide spraying technology, which can be used in control/regulation systems, aircraft parts, devices for catching or killing insects, etc., can solve the problems of non-targeted use and large amount of pesticide use

Inactive Publication Date: 2018-09-18
JINAN INSPUR HIGH TECH TECH DEV CO LTD
View PDF4 Cites 24 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Although the use of drones or ground pipes to spray pesticides can save manpower, i

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 pesticide spraying system based on a convolutional neural network chip
  • Unmanned aerial vehicle pesticide spraying system based on a convolutional neural network chip
  • Unmanned aerial vehicle pesticide spraying system based on a convolutional neural network chip

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0029] The invention provides a UAV pesticide spraying system based on a convolutional neural network chip, including a surveying and mapping camera UAV, a pesticide spraying UAV, and a UAV console.

[0030] The surveying and mapping camera UAV surveys and maps the coordinate information of the farmland and takes images of the crops, and sends them to the UAV console.

[0031] The UAV console uses the convolutional neural network chip to analyze the received crop images in real time, judge whether the crops have pests and diseases and the types of pests, and number the types of pests and diseases. Control the surveying and mapping camera UAV and the pesticide spraying UAV to complete the corresponding operation,

[0032] The pesticide spraying UAV injects the corresponding pesticides into the pesticide storage bin according to the type and number of the pests, and sprays the pesticides according to the coordinates of the corresponding crops.

[0033] At the same time, a UAV p...

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 pesticide spraying system based on a convolutional neural network chip, and relates to the field of intelligent agricultural machinery. The unmannedaerial vehicle pesticide spraying system comprises a mapping photographing unmanned aerial vehicle, a pesticide spraying unmanned aerial vehicle and an unmanned aerial vehicle console, wherein the unmanned aerial vehicle console controls the mapping and photographing unmanned aerial vehicle to map the farmland coordinate information and shoot the crop images, and transmit the information to the unmanned aerial vehicle console, the unmanned aerial vehicle console performs pest and disease judgment processing on the crop images in real time through the convolution neural network chip, and a coordinate positioning technology is adopted to control the pesticide spraying unmanned aerial vehicle to carry out automatic corresponding pest and disease crop spraying, so that the height automation and precision of farmland pesticide spraying are realized, the labor is saved, the pesticide use amount is reduced, and a technical guarantee is provided for green agriculture.

Description

technical field [0001] The invention discloses a pesticide spraying system, which relates to the field of intelligent agricultural machinery, in particular to an unmanned aerial vehicle pesticide spraying system based on a convolutional neural network chip. Background technique [0002] In traditional pesticide spraying, farmers regularly use indiscriminate spraying methods to spray large-scale crops in the farmland. The amount of pesticides used is large, and the treatment of crop diseases and insect pests is not targeted. Although the use of drones or ground pipelines to spray pesticides can save manpower, it will also cause problems such as excessive use of pesticides and non-targeted use. The invention discloses an unmanned aerial vehicle pesticide spraying system based on a convolutional neural network chip. By using information technology and convolutional neural network real-time image recognition technology, real-time identification and processing of crop images by d...

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): A01M7/00B64D1/18G01C11/02G05B19/04G05D1/10
CPCA01M7/0025A01M7/0089B64D1/18G01C11/02G05B19/04G05D1/101
Inventor 赵鑫鑫姜凯李朋
Owner JINAN INSPUR HIGH TECH TECH DEV CO LTD
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