Model training method and crop yield estimation method

A technology for model training and crops, applied in the field of satellite remote sensing data, can solve the problem of low accuracy of crop yield estimation, and achieve the effect of improving the accuracy of yield estimation

Active Publication Date: 2022-08-05
CHINA MOBILE CHENGDU INFORMATION & TELECOMM TECH CO LTD +1
View PDF13 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The embodiment of the present invention provides a model training method and a crop yield estimation method, which can solve the problem of low accuracy of crop yield estimation at present

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
  • Model training method and crop yield estimation method
  • Model training method and crop yield estimation method
  • Model training method and crop yield estimation method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0064] The features and exemplary embodiments of various aspects of the present invention will be described in detail below. In order to make the objectives, technical solutions and advantages of the present invention more clear, the present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments. It should be understood that the specific embodiments described herein are only configured to explain the present invention, and are not configured to limit the present invention. It will be apparent to those skilled in the art that the present invention may be practiced without some of these specific details. The following description of the embodiments is only intended to provide a better understanding of the present invention by illustrating examples of the invention.

[0065] It should be noted that, in this document, relational terms such as first and second are used only to distinguish one entity or operation from...

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 model training method and a crop yield estimation method. The method includes: obtaining sample normalized vegetation index NDVI, sample soil moisture SM, sample medium resolution imaging spectrometer MODIS remote sensing data and sample crop yield; according to sample NDVI, sample SM and sample MODIS remote sensing data, determine each growing period of crops The corresponding NDVI and SM respectively; according to the corresponding NDVI and SM of each growing period of crops and the sample crop yield, the yield estimation model is trained, which improves the crop yield estimation accuracy.

Description

technical field [0001] The invention belongs to the technical field of satellite remote sensing data, and in particular relates to a model training method and a crop yield estimation method. Background technique [0002] In order to scientifically formulate plans for the import and export of agricultural products, regulate the grain market, and guide the adjustment of planting structures, it is necessary to carry out accurate and timely monitoring and evaluation of regional grain crop yields. As the main food crops, crops can accurately and timely predict the output of crops, so as to ensure the stable and high yield of crops and ensure food security. [0003] At present, the estimation of crop yield mainly uses historical meteorological data and satellite remote sensing data. However, historical meteorological data has a strong regionality, and historical meteorological data in different regions varies greatly. Therefore, using historical meteorological data and satellite ...

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): G06V20/13G06Q10/04G06Q50/02G06N3/00G06N3/08
CPCG06Q10/04G06Q50/02G06N3/006G06N3/084G06V20/13G06V20/188
Inventor 刘一珉卞军伟廖鹏程董景文翁倩
Owner CHINA MOBILE CHENGDU INFORMATION & TELECOMM TECH 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