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Rice seedling line extraction method, device, computer equipment and storage medium

An extraction method and technology for seedlings, which are applied in the field of image processing, can solve problems such as inaccurate identification of rice seedlings lines and the like, and achieve the effect of eliminating the interference of environmental factors.

Active Publication Date: 2020-09-25
SOUTH CHINA AGRI UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Based on this, it is necessary to provide a rice seedling row line extraction method, device, computer equipment and storage medium for the problem of inaccurate identification of rice seedling row lines

Method used

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  • Rice seedling line extraction method, device, computer equipment and storage medium
  • Rice seedling line extraction method, device, computer equipment and storage medium
  • Rice seedling line extraction method, device, computer equipment and storage medium

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Embodiment Construction

[0048] In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present application, and are not intended to limit the present application.

[0049] Such as figure 1 As shown, the embodiment of the present invention provides a method for extracting row lines of rice seedlings, comprising:

[0050] Step S30, obtaining field images of rice seedlings;

[0051] Step S40, using the pre-trained deep convolutional neural network model to identify the rice seedling field image, and obtain the coordinates of each rice seedling in the rice seedling field image;

[0052] Step S50, clustering the coordinates of multiple seedlings, and identifying the current row of seedlings;

[0053] Step S60, performing linear regressi...

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Abstract

The invention relates to a method for extracting row lines of rice seedlings, comprising the steps of: obtaining field images of rice seedlings; identifying the field images of rice seedlings through a pre-trained deep convolutional neural network model, and obtaining the coordinates of each seedling in the field images of rice seedlings ; clustering the coordinates of multiple rice shoots, and identifying the current row of rice shoots; performing linear regression on the coordinates of the rice shoots on the current row of job seedlings, to obtain the current row of rice shoots. Through the application of the pre-trained deep convolutional neural network and clustering algorithm, the interference of environmental factors in the rice field can be better eliminated, the current line of seedlings can be identified more accurately, and the automatic driving of the rice transplanter can be guided.

Description

technical field [0001] The invention relates to the field of image processing, in particular to a method, device, computer equipment and storage medium for extracting row lines of rice seedlings. Background technique [0002] Agricultural field navigation technology provides navigation information for the operation of modern agricultural production machinery, and has been applied to various agricultural machinery and equipment. The importance of agricultural field navigation is particularly evident in agricultural equipment used for seeding. [0003] At present, the research on agricultural field navigation at home and abroad mainly focuses on machine vision navigation. Meng Qingkuan et al constructed the Cg component that has nothing to do with the light, selected the 2Cg-Cr-Cb feature factor to grayscale the image, established the constraint model of the corn crop line equation according to the characteristics of the crop row in the image, and used the particle swarm opti...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/46G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06V10/457G06V10/462G06N3/045G06F18/231
Inventor 齐龙林少敏马旭蒋郁邓向武李帅刘海云曹聪龚浩陈林涛
Owner SOUTH CHINA AGRI UNIV
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