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Device for automatically extracting three-dimensional phenotypic characters of small plants

An automatic extraction, three-dimensional table technology, used in measuring devices, using optical devices, testing plant materials, etc.

Inactive Publication Date: 2018-04-27
武汉谷丰光电科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to overcome the shortcomings of manual measurement, improve measurement efficiency, reduce labor cost input, and provide an automatic, high-efficiency, low-cost device for extracting three-dimensional phenotypic traits of plants

Method used

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  • Device for automatically extracting three-dimensional phenotypic characters of small plants
  • Device for automatically extracting three-dimensional phenotypic characters of small plants

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Experimental program
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Embodiment

[0019] Embodiment: A device for extracting three-dimensional phenotypic traits of a small plant according to the present invention, including a host computer software 1 for plant image acquisition and real-time three-dimensional image reconstruction, host computer control and image data processing; a precision motion controller 2 , used to receive the control instructions sent by the host computer, and make corresponding action control on the moving object rotating table 4 according to the instructions; the imaging darkroom 6 provides a stable imaging environment for plant image acquisition.

[0020] The measurement steps of an automatic extraction device for three-dimensional phenotypic traits of small plants are as follows:

[0021] 01. Move the potted plant 7 to the load rotating table 4;

[0022] 02. The squint camera 3 acquires the squint image of the plant at a certain angle;

[0023] 03. Host computer software 1 acquires 72 strabismus images for each plant and then per...

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Abstract

The invention relates to a device for extracting three-dimensional phenotypic information of small plants and seedling plants. The device comprises an upper computer control center, a precise motion controller and a visible light imaging module. The imaging module contains an image acquisition module, a loading rotary table and a visual light source. The precise motion controller has a single axismotion control function and can be communicated with the upper computer. The upper computer is mainly used for communicating with a lower computer and extracting three-dimensional information of theplant images. The device utilizes a machine vision technology and mechanical automation technology, realizes fast and non-destructive extraction of three-dimensional phenotypic information of small plants and provides a fast and efficient scientific and technological means for researching phenotypic characters of small plants or seedling plants for researchers in the related fields.

Description

technical field [0001] The invention belongs to machine vision detection technology, in particular to a device for automatically extracting three-dimensional phenotypic traits of small plants and seedling crops through visible light imaging technology. The invention can be used on an online detection platform for three-dimensional phenotypic traits of crops such as small flower bonsai and rapeseed cotton at the seedling stage, and can automatically reconstruct the three-dimensional structure diagrams of small plants and seedling crops and obtain their three-dimensional phenotypic trait parameters. It is applicable to the field of digital garden art and crop research. Background technique [0002] Plant phenotypic traits are jointly determined by genotype and environment. With the gradual completion of plant genomics testing, phenomics has attracted more and more attention from plant researchers, and plant phenotypic traits are studied in a two-dimensional plane. It has beco...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N21/84G01B11/06G01B11/28
CPCG01B11/0608G01B11/28G01N21/84G01N2021/8466
Inventor 叶军立黄成龙孙晋武安梦蝶耿显希
Owner 武汉谷丰光电科技有限公司
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