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

Crop Growth Monitoring System and Its Data Processing Method and Module

A technology of monitoring data and processing methods, which is applied in the field of remote sensing image processing and agricultural monitoring, can solve the problems of introducing large uncertainties and not considering changes in cultivated land utilization, so as to reduce the uncertainty of crop growth monitoring and improve the accuracy degree of effect

Active Publication Date: 2019-08-02
INST OF REMOTE SENSING & DIGITAL EARTH CHINESE ACADEMY OF SCI
View PDF5 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] However, none of the growth monitoring methods adopted by the existing crop monitoring systems take into account the changes in crop land utilization caused by crop rotation and changes in crop sowing conditions. Introduce a lot of uncertainty in the process of growth monitoring

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
  • Crop Growth Monitoring System and Its Data Processing Method and Module
  • Crop Growth Monitoring System and Its Data Processing Method and Module
  • Crop Growth Monitoring System and Its Data Processing Method and Module

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0072] see figure 1 , is a schematic flowchart of a method for processing crop growth monitoring data provided in Embodiment 1 of the present invention. The methods include:

[0073] Step S1, acquiring remote sensing data for monitoring and remote sensing data for correction.

[0074] Step S2, preprocessing the remote sensing data for monitoring and remote sensing data for correction to obtain corresponding vegetation index data. Wherein, the vegetation index data includes time-series vegetation index data sequentially composed of a plurality of specific periods.

[0075] Step S3, obtaining correction parameters according to the correction vegetation index data.

[0076] Step S4, correcting the vegetation index data for monitoring according to the correction parameters.

[0077] Specifically, in step S1, remote sensing data with different resolutions are used for the remote sensing data for monitoring and the remote sensing data for correction. Among them, the remote sens...

Embodiment 2

[0122] Such as Figure 4 As shown, a crop growth monitoring data processing module provided by the present invention includes: a data acquisition sub-module 1 , a data preprocessing sub-module 2 , a correction parameter calculation sub-module 3 and a data correction sub-module 4 . In addition, in order to fully embody the technical solution of the present invention, in Figure 4 It also includes a data storage sub-module 5, such as various storage media. Specifically, the data acquired by the data acquisition sub-module 1 includes remote sensing data, that is, remote sensing data for monitoring and remote sensing data for correction. It also includes various parameters, such as thresholds, necessary parameters involved in the formula, etc., after obtaining such parameter data, it is directly stored in the data storage sub-module 5, and is sent to the It provides the corresponding parameters. After obtaining the remote sensing data, send it to the data preprocessing sub-modu...

Embodiment 3

[0140] The third embodiment provides a crop growth monitoring system, which includes the data processing module 1a and the monitoring module 2a provided in the previous embodiment 2, and obtains the corrected medium and low resolution MODIS data through the data processing module 1a. The monitoring module 2a uses the corrected vegetation index data as monitoring data to perform process monitoring of crop growth and / or real-time monitoring of crop growth.

[0141] For the convenience of viewing, the monitoring system further includes a data output module 3a, and the data output module 3a is a printing module or / and a display module and the like. It is used to output the monitoring data in a specific form, such as displaying or printing in charts and graphs.

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 crop growth monitoring system and a data processing method and module thereof, and relates to the technical field of remote sensing image processing and agriculture monitoring. The data processing method includes the following steps: acquiring remote sensing data for monitoring and remote sensing data for correction; separately pre-processing the remote sensing data for monitoring and remote sensing data for correction, obtaining corresponding vegetation index data; on the basis of the vegetation index data for correction, acquiring an correction parameter; on the basis of the correction parameter, correcting the vegetation index data for monitoring. According to the invention, the corrected vegetation index data is intended for monitoring crop growth, the instability of the result of crop growth monitoring that is caused by crop rotation and annual changes to plantation lands is reduced, and the accuracy of crop growth monitoring is increased.

Description

technical field [0001] The invention relates to the technical fields of remote sensing image processing and agricultural monitoring, in particular to a crop growth monitoring system and its data processing method and module. Background technique [0002] In recent years, countries around the world, whether developing or developed, have increasingly relied on timely, accurate, and transparent agricultural monitoring results to respond to agricultural conditions at the global, regional, national, and provincial levels. food security issues at scale. Studies have shown that, compared with the yield data obtained statistically after crop harvest, obtaining crop growth status information as early as possible during the crop growth stage is more conducive to coping with sudden food supply shortages and formulating policies related to food import and export. When grain production is expected to decline, stabilizing international grain prices is of great significance to both grain ...

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): G01S17/89
CPCG01S17/89
Inventor 吴炳方张淼曾红伟
Owner INST OF REMOTE SENSING & DIGITAL EARTH CHINESE ACADEMY OF 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

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