• DocumentCode
    467776
  • Title

    Research on Automatic Counting Soybean Leaf Aphids System Based on Computer Vision Technology

  • Author

    Shen, Wei-Zheng ; Zhang, Chang-li ; Chen, Zhan-liang

  • Author_Institution
    Northeast Agric. Univ., Harbin
  • Volume
    3
  • fYear
    2007
  • fDate
    19-22 Aug. 2007
  • Firstpage
    1635
  • Lastpage
    1638
  • Abstract
    The current investigation of aphid population dynamics mostly adopts manual counting, which causes the enormous workload. The accuracy is also hard to guarantee. But the computer vision technology used in this experimentation can automatically count aphids. In the experimentation, the aphids can be apart from soybean leaves by proposing the images with the HSI color system. Meanwhile the algorithm is given. The results showed that this method counts aphids accurately, rapidly and effectively.
  • Keywords
    agriculture; computer vision; production engineering computing; automatic counting; computer vision technology; soybean leaf aphids system; Agricultural engineering; Charge coupled devices; Charge-coupled image sensors; Computer vision; Cybernetics; Educational institutions; Hardware; Image processing; Insects; Machine learning; Aphid; Automatic counting; Computer vision; Soybean;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2007 International Conference on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    978-1-4244-0973-0
  • Electronic_ISBN
    978-1-4244-0973-0
  • Type

    conf

  • DOI
    10.1109/ICMLC.2007.4370408
  • Filename
    4370408