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Technology of Graphic & Image
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App. Res. of Comp. Printed Article
Vol. 36, 2019 No. 5
1592-1596

Rice seedling status recognition based on machine vision algorithm

Chen Xinxin
Wang Fulin
Song Yingying
College of Engineering, Northeast Agricultural University, Harbin 150030, China
DOI: 10.19734/j.issn.1001-3695.2017.12.0837

Abstract

It is very important to improve the quality and high yield of rice by adjusting the light, temperature and humidity in the environment of seedling development. This paper proposed a method for recognizing seedling development status based on machine vision algorithm for rice seedlings under the condition that the monitoring of rice seedlings was out of time caused by monitoring. It studied on the seedling of Dongnong426 and Dongnong428 by rice thermotank, on seedling RGB color image segmentation using the covariance clustering algorithm, then used continuous corrosion pretreatment open operation combined with Hough transform. According to the information extraction and morphological parameters of leggy seedlings directly related, such as plant height, leaf area, horned, growth rate, curve fitting, the results would be displayed on the interface of the software. The test results show that the method can correctly identify and accurately extract the morphological parameters of seedlings, the accuracy rate is 87.5%, the morphological parameter identification error is less than 7%, this method provides an effective reference for the research of rice seedling sports factory.

Foundation Support

国家自然科学基金资助项目(31071331)
公益性行业(农业)专项课题资助项目(201503116-04)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2017.12.0837
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 5
Section: Technology of Graphic & Image
Pages: 1592-1596
Serial Number: 1001-3695(2019)05-066-1592-05

Publish History

[2019-05-05] Printed Article

Cite This Article

陈信新, 王福林, 宋莹莹. 基于机器视觉算法的水稻秧苗状态识别 [J]. 计算机应用研究, 2019, 36 (5): 1592-1596. (Chen Xinxin, Wang Fulin, Song Yingying. Rice seedling status recognition based on machine vision algorithm [J]. Application Research of Computers, 2019, 36 (5): 1592-1596. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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