Technology of Graphic & Image
|
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

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.


Indexed & Evaluation

  • The Second National Periodical Award 100 Key Journals
  • Double Effect Journal of China Journal Formation
  • the Core Journal of China (Peking University 2023 Edition)
  • the Core Journal for Science
  • Chinese Science Citation Database (CSCD) Source Journals
  • RCCSE Chinese Core Academic Journals
  • Journal of China Computer Federation
  • 2020-2022 The World Journal Clout Index (WJCI) Report of Scientific and Technological Periodicals
  • Full-text Source Journal of China Science and Technology Periodicals Database
  • Source Journal of China Academic Journals Comprehensive Evaluation Database
  • Source Journals of China Academic Journals (CD-ROM Version), China Journal Network
  • 2017-2019 China Outstanding Academic Journals with International Influence (Natural Science and Engineering Technology)
  • Source Journal of Top Academic Papers (F5000) Program of China's Excellent Science and Technology Journals
  • Source Journal of China Engineering Technology Electronic Information Network and Electronic Technology Literature Database
  • Source Journal of British Science Digest (INSPEC)
  • Japan Science and Technology Agency (JST) Source Journal
  • Russian Journal of Abstracts (AJ, VINITI) Source Journals
  • Full-text Journal of EBSCO, USA
  • Cambridge Scientific Abstracts (Natural Sciences) (CSA(NS)) core journals
  • Poland Copernicus Index (IC)
  • Ulrichsweb (USA)