• DocumentCode
    3572865
  • Title

    Study on recognition and non-destructive picking end-effector of kiwifruit

  • Author

    Fanian Zhang ; Zhen Li ; Bin Wang ; Shuai Su ; Longsheng Fu ; Yongjie Cui

  • Author_Institution
    Coll. of Mech. & Electron. Eng., Northwest A&F Univ., Yangling, China
  • fYear
    2014
  • Firstpage
    2174
  • Lastpage
    2179
  • Abstract
    Fruit information perception and nondestructive picking method are the key technologies for harvesting robot. In this paper, the kiwifruit automatic identification method and nondestructive picking end-effector were studied. Firstly, a method of obtaining image from the bottom of fruit was proposed based on the clustering characteristics of fruit and the method of elliptic Hough transform was used to make the target fruit be recognized separately in this procession to determine the picking order of fruit. Secondly, an end-effector was designed and manufactured, which could approach the fruit from the bottom, enveloping and grabbing the fruit from two sides, and rotated the fruit until separating the fruit and the stem. Finally, a comprehensive experiment was made combined with kiwifruit automatic identification method and nondestructive picking end-effector. Also, a harvesting adaptability research was finished by identification method. The result shows that, the recognition rate was 95.74% and the picking success rate was 88.89%.
  • Keywords
    Hough transforms; agriculture; end effectors; industrial manipulators; elliptic Hough transform; fruit information perception; harvesting robot; kiwifruit; nondestructive picking end-effector; Agriculture; Automation; Character recognition; Educational institutions; Intelligent control; Robots; Transforms; end-effector; information acquisition; kiwifruit; non-destructive picking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation (WCICA), 2014 11th World Congress on
  • Type

    conf

  • DOI
    10.1109/WCICA.2014.7053059
  • Filename
    7053059