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

Meteorological satellite data-based crop disease and insect pest remote sensing monitoring method and device

A meteorological satellite and remote sensing monitoring technology, applied in the field of surveying, mapping and remote sensing, can solve the problems of poor real-time performance, low accuracy and high cost of disease and insect pest early warning technology, and achieve the effects of low cost, cost saving and wide monitoring range.

Active Publication Date: 2020-08-14
ACADEMY OF PLANNING & DESIGNING OF THE MINIST OF AGRI +1
View PDF3 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Aiming at the need for accurate and timely early warning of pests and diseases in provincial and municipal level research areas, the present invention proposes a method and device for remote sensing monitoring of crop diseases and insect pests based on SMAP and TRMM satellite data, and solves the problem of poor real-time performance, low accuracy and low cost of existing early warning technologies for diseases and insect pests. advanced questions

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
  • Meteorological satellite data-based crop disease and insect pest remote sensing monitoring method and device
  • Meteorological satellite data-based crop disease and insect pest remote sensing monitoring method and device
  • Meteorological satellite data-based crop disease and insect pest remote sensing monitoring method and device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0035] The invention proposes a remote sensing monitoring method for crop diseases and insect pests based on satellite data, and the method can be applied to various diseases such as rice blast, wheat scab, wheat stripe rust and the like. Using the high time resolution (3 hours) SMAP and TRMM satellite data, the key meteorological elements affecting pests and diseases such as daily temperature, air pressure, specific humidity, precipitation and wind speed are extracted in near real time, and then calculated using the data of temperature, air pressure and specific humidity Relative humidity, and then according to the model, the daily contribution value of these key meteorological elements to the disease infection and the contribution value of the precipitation to the disease infection in each ten-day period are obtained, and finally the daily contribution value of the key meteorological elements to the disease infection is used to calculate the occurrence and development index of...

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 remote sensing monitoring method and device for crop diseases and insect pests based on meteorological satellite data. The method comprises the following steps: acquiring SMAP and TRMM satellite image data, preprocessing the data, selecting corresponding meteorological factors according to pest and disease damage types, and interpolating the two satellite data by using aninverse distance weight method to obtain key meteorological element data with specified spatial resolution and specified time resolution in a research area; calculating according to Beijing time to obtain daily data of key meteorological factors in the research area; establishing a corresponding disease and pest attack index meteorological evaluation model by utilizing a mathematical statistics method; according to the key meteorological element daily data of the specified disease and pest type in the research area and the corresponding disease and pest attack index meteorological evaluationmodel, calculating the disease and pest attack index by taking ten days as a period; and executing a mask by utilizing the distribution data of the target crops to generate a thematic map. According to the invention, the early warning real-time performance and accuracy can be improved, and the monitoring range is wide.

Description

technical field [0001] The invention belongs to the field of surveying and mapping remote sensing, and in particular relates to a remote sensing monitoring method and device for crop diseases and insect pests based on meteorological satellite data. Background technique [0002] Crop diseases and insect pests are one of the main natural disasters in my country, characterized by various types, great impact, and frequent outbreaks. The occurrence, development, and prevalence of almost all major crop diseases and insect pests are directly or indirectly related to meteorological conditions. Therefore, the key period and key meteorological factors that affect the occurrence and prevalence of crop diseases and insect pests are usually screened through the research on the occurrence and prevalence of crop diseases and insect pests and meteorological conditions. Establish a monitoring and forecasting model for the occurrence and prevalence of crop diseases and insect pests. In recent...

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): G01N33/00G06K9/00
CPCG01N33/0098G06V20/188
Inventor 游炯刘海启杨泽宇刘琛郑高强冷伟
Owner ACADEMY OF PLANNING & DESIGNING OF THE MINIST OF AGRI
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

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com