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

A method and system for remote sensing extraction of agricultural disaster information based on the Internet of Things

An extraction method and technology of the Internet of Things, applied in the field of data identification, can solve the problems of inaccurate acquisition of the disaster area, inability to achieve load balance, unfavorable user disaster prevention, etc., to improve data sampling speed and processing accuracy, and improve retrieval efficiency , the effect of reducing damage

Inactive Publication Date: 2021-04-06
INST OF AGRI RESOURCES & REGIONAL PLANNING CHINESE ACADEMY OF AGRI SCI
View PDF15 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] (1) The existing agricultural disaster monitoring cannot accurately obtain the scope of the disaster, which is not conducive to the user's reasonable disaster prevention; at the same time, it cannot predict the disaster in time, resulting in serious agricultural disasters
[0005] (2) Most of the existing remote sensing data storage models are aimed at remote sensing image product data, and cannot achieve better load balancing in a distributed environment

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
  • A method and system for remote sensing extraction of agricultural disaster information based on the Internet of Things
  • A method and system for remote sensing extraction of agricultural disaster information based on the Internet of Things
  • A method and system for remote sensing extraction of agricultural disaster information based on the Internet of Things

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0055] In order to make the object, technical solution and advantages of the present invention more clear, the present invention will be further described in detail below in conjunction with the examples. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0056] The application principle of the present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.

[0057] Such as figure 1 As shown, a kind of remote sensing extraction method based on the Internet of Things agricultural disaster information provided by the present invention comprises the following steps:

[0058] Step S101, collecting natural disaster image data through the image acquisition module;

[0059] Step S102, the central processing module dispatches the disaster feature extraction module to extract disaster feature elements from the images collect...

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 belongs to the field of data identification; data representation; record carrier; record carrier processing technology field, and discloses a remote sensing extraction method and system for agricultural disaster information based on the Internet of Things. The remote sensing extraction system for agricultural disaster information based on the Internet of Things includes: Image acquisition module, central processing module, disaster feature extraction module, disaster range recognition module, disaster prediction module, disaster assessment module, disaster alarm module, and display module. The present invention can accurately know the boundary of the agricultural disaster area through the disaster range identification module; at the same time, the disaster prediction module adopts data cleaning, deviation detection, time calibration, and sample extraction sequence data processing methods for independent variable data, which can effectively ensure data quality. At the same time, the data sampling speed and processing accuracy are improved to improve the prediction accuracy, thereby effectively reducing the damage caused by disasters to agriculture.

Description

technical field [0001] The invention belongs to the technical field of data identification; data representation; record carrier; record carrier processing technology, and in particular relates to a remote sensing extraction method and system for agricultural disaster information based on the Internet of Things. Background technique [0002] Agricultural disasters include natural disasters, damage caused by diseases, insects, birds and animals, and disasters caused by human factors. Natural disasters such as drought, waterlogging, soil erosion caused by bad weather, too much rain, insufficient light, typhoon, etc. Damage caused by diseases, insects, birds and animals, such as all kinds of diseases and insect pests, bird damage, rat damage, wild boar damage, etc.; human factors such as soil structure damage caused by incorrect farming, large amount of chemical pesticide use, improper use of drugs, human trampling, etc.; agricultural meteorology Disasters are disasters caused ...

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 Patents(China)
IPC IPC(8): G06F16/27G06F16/22G06F16/25G06K9/00
Inventor 覃志豪李文娟高懋芳
Owner INST OF AGRI RESOURCES & REGIONAL PLANNING CHINESE ACADEMY OF AGRI SCI
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