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Technology of Graphic & Image
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App. Res. of Comp. Printed Article
Vol. 36, 2019 No. 2
598-600,610

Identifying bulbil direction of garlic based on deep learning

Fang Chun
Sun Fuzhen
Ren Chongguang
School of Computer Science & Technology, Shandong University of Technology, Zibo Shandong 255049, China
DOI: 10.19734/j.issn.1001-3695.2017.09.0911

Abstract

In order to solve the problem of upright sowing of garlic by machine, this paper proposed a novel method based on deep learning for identifying the bulbil direction of garlic. This method did not require extracting the contour of garlic, calculating the tip position nor finding the center of mass of garlic. Instead, it used the garlic images directly as input for the model. The model extracted the image features implicitly and trained the neural network to identify the garlic bulbil direction automatically. Experimental results show that this model reaches an accuracy of 97.5% when 1 700 garlic pictures are used as the training set and another 400 garlic pictures are used as the test set, suggesting that this method is simple, efficient and reliable for solving garlic upright sowing problem. Furthermore, it can also be used for solving seed selection problems in agriculture.

Foundation Support

国家自然科学基金青年基金资助项目(61602280)
山东省自然科学基金青年基金资助项目(ZR2014FQ028)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2017.09.0911
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 2
Section: Technology of Graphic & Image
Pages: 598-600,610
Serial Number: 1001-3695(2019)02-061-0598-03

Publish History

[2019-02-05] Printed Article

Cite This Article

方春, 孙福振, 任崇广. 基于深度学习的大蒜鳞芽朝向识别研究 [J]. 计算机应用研究, 2019, 36 (2): 598-600,610. (Fang Chun, Sun Fuzhen, Ren Chongguang. Identifying bulbil direction of garlic based on deep learning [J]. Application Research of Computers, 2019, 36 (2): 598-600,610. )

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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