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Method and system for identifying green plants in field crop growth monitoring image

A technology for field crops and green plants, applied in character and pattern recognition, instruments, data processing applications, etc., can solve the problems of inaccurate grasp of crop growth laws, inaccurate crop growth analysis data, complexity and particularity of green plant images Dealing with problems such as poor performance

Pending Publication Date: 2019-12-03
李清华
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The existing field crops cannot accurately grasp the growth law of crops; at the same time, the analysis data of crop growth is not accurate
[0005] In the prior art, the processing effect on the complexity and particularity of green plant images is poor

Method used

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  • Method and system for identifying green plants in field crop growth monitoring image
  • Method and system for identifying green plants in field crop growth monitoring image

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Experimental program
Comparison scheme
Effect test

Embodiment 1

[0099] Model construction module 7 construction method provided by the present invention comprises:

[0100] (1) Establish crop data growth variables by building programs.

[0101] (2) Collect crop data growth variables.

[0102] (3) Perform data analysis on the crop data growth variables and establish a crop data growth model and practically apply the crop data growth model.

[0103] The crop data growth variables provided by the present invention include natural variables, artificial variables and growth states.

[0104] The natural variables include air humidity, soil humidity, temperature, light, and soil pH in the natural environment.

[0105] The artificial variables include artificially applied temperature compensation, light compensation, water application, and fertilizer application.

[0106] The growth state refers to the growth state of the crops in each growth stage.

[0107] The method for collecting crop data growth variables provided by the present invention i...

Embodiment 2

[0115] Growth analysis module 6 analysis methods provided by the present invention include:

[0116] 1) In order to input the data generated by the crop growth environment perception Internet of Things to the Hadoop big data platform,

[0117] 2) By establishing a dynamic growth model of the target crop on the mapreduce computing framework,

[0118] 3) Calculate and solve the phenology (PHE) to predict the growth trend of crops.

[0119] The dynamic growth model provided by the present invention by setting up the target crop on the mapreduce computing framework comprises the following steps:

[0120] Read in input source data and create calculation jobs. A computational framework for this task of solving phenology (PHE) is established.

[0121] According to the mapreduce computing framework, the calculation subtasks of the crop growth period model are established. Computing subtasks are operated under the mapreduce framework.

[0122] Store and output the results of solvi...

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Abstract

The invention belongs to the technical field of field crop growth monitoring. The invention discloses a method and a system for identifying green plants in a field crop growth vigor monitoring image.An image monitor is used for monitoring the growth process of field crops, a monitoring image segmentation module is used for carrying out segmentation processing on collected field crop monitoring images through an image segmentation program, an identification program is used for identifying the growth vigor of the field crop images, and a classification program is used for carrying out classification operation on field crop type characteristics; constructing a field crop growth model by using the construction program, and analyzing the growth vigor of the field crops by using the analysis program. The crop growth model is established, the relevance among the natural environment variable, the artificial variable and the growth state in the crop growth process is analyzed, the problem of manual misoperation in the crop planting process is solved on the basis of facts, and agricultural production is guided more accurately.

Description

technical field [0001] The invention belongs to the technical field of field crop growth monitoring, in particular to a method and system for identifying green plants in field crop growth monitoring images. Background technique [0002] Field crops refer to crops grown on large fields, such as wheat, rice, sorghum, corn, cotton, pasture, etc. Direct supply of food, oil and clothing raw materials mainly. Planting in the open field and vegetables in greenhouses are not counted; tobacco and Chinese herbal medicines are not counted; woody apples and grapes are not counted. However, the existing field crops cannot accurately grasp the growth law of the crops; at the same time, the analysis of the growth of the crops is not accurate. [0003] In summary, the problems in the prior art are: [0004] The existing field crops cannot accurately grasp the growth law of the crops; at the same time, the analysis data on the growth of the crops is not accurate. [0005] In the prior ar...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/46G06K9/40G06K9/34G06Q50/02G06Q10/04
CPCG06Q50/02G06Q10/04G06V20/10G06V10/267G06V10/30G06V10/44G06V10/50
Inventor 李清华郑龙柯庆明蒋文广
Owner 李清华
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