• DocumentCode
    577714
  • Title

    Application research of neural networks in fruit and vegetable harvesting robot

  • Author

    Wu, Weirong ; Ding, Shenping ; Lv, Jidong

  • Author_Institution
    Mechatron. Eng. Dept., Suzhou Ind. Park Inst. of Vocational Technol., Suzhou, China
  • fYear
    2012
  • fDate
    6-8 July 2012
  • Firstpage
    1790
  • Lastpage
    1795
  • Abstract
    Neural networks was used in the camera calibration of binocular stereo vision, segmentation and recognition of fruit or vegetable images, fruit or vegetable classification, orientation error amendment of fruit or vegetable, obstacle avoidance of robot manipulator, sensor data fusion about fruit and vegetable harvesting robot. The research results in all the aspects mentioned above of fruit and vegetable harvesting robot with neural networks were introduced in this article, and some the highlighted issues were finally discussed. It is expected that this research may be used as a step stone for further study in the area.
  • Keywords
    agricultural machinery; agricultural products; agriculture; collision avoidance; image classification; image segmentation; manipulators; neural nets; sensor fusion; stereo image processing; binocular stereo vision; camera calibration; fruit classification; fruit harvesting robot; fruit image recognition; fruit image segmentation; neural network; obstacle avoidance; orientation error amendment; robot manipulator; sensor data fusion; vegetable classification; vegetable harvesting robot; vegetable image segmentation; Calibration; Cameras; Computers; Neural networks; Robot sensing systems; Stereo vision; Camera calibration; Data fusion; Error correction; Fruit classification; Harvesting robot; Image processing; Neural network; Obstacle avoidance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation (WCICA), 2012 10th World Congress on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4673-1397-1
  • Type

    conf

  • DOI
    10.1109/WCICA.2012.6358167
  • Filename
    6358167