Unlock instant, AI-driven research and patent intelligence for your innovation.

Model training method and crop yield estimation method

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

Active Publication Date: 2021-06-25
CHINA MOBILE CHENGDU INFORMATION & TELECOMM TECH CO LTD +1
View PDF13 Cites 4 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 only used 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 comprises the following steps: acquiring a sample NDVI (normalized difference vegetation index), a sample SM (soil moisture), sample MODIS (medium resolution imaging spectrometer) remote sensing data and sample crop yield; according to the sample NDVI, the sample SM and the sample MODIS remote sensing data, determining NDVI and SM corresponding to each growth period of the crop; and according to the NDVI and SM corresponding to each growth period of the crops and the sample crop yield, training a yield estimation model, and improving the crop yield estimation precision.

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 agricultural product import and export plans, regulate the grain market, and guide the adjustment of the planting structure, it is necessary to carry out accurate and timely monitoring and evaluation of the yield of regional grain crops. As the main food crops, crops can be accurately and timely predicted the yield of crops in order to ensure stable and high yields 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 strong regional characteristics, and the historical meteorological data in different regions varies greatly. Therefore, the use of historical meteorologica...

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): G06K9/00G06Q10/04G06Q50/02G06N3/00G06N3/08
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