Modelling tomato pericarp microstructure as force control reference for harvesting robot.

Journal: Journal of the science of food and agriculture
PMID: 38497443

Abstract

BACKGROUND: The harvest of fruit can be significantly advanced with the thriving development of intelligent and automated robot technologies. Nevertheless, the picking success rate of tomato fruit still requires improvement as some fruits are unexpectedly damaged inside, which is imperceptible by machine vision. Herein, a modelling method based on modified Voronoi algorithm is proposed to reconstruct the cellular structure of tomato pericarp.

Authors

  • Weigui Xie
    School of Mechanical and Automotive Engineering, South China University of Technology, Guangzhou, P. R. China.
  • Jinchen Yang
    School of Mechanical and Automotive Engineering, South China University of Technology, Guangzhou, P. R. China.
  • Zhenhua Tan
    Department of General Surgery, Huzhou Central Hospital, The Affiliated Central Hospital of Huzhou University, Zhejiang, China.
  • Zhengqiang Guo
    School of Mechanical and Automotive Engineering, South China University of Technology, Guangzhou, P. R. China.
  • Wangyu Liu
    School of Mechanical and Automotive Engineering, South China University of Technology, Guangzhou, P. R. China.
  • Yuanqiang Luo
    South China Agricultural University, Guangzhou, P. R. China.
  • Jingren Gou
    Department of Chemical Engineering, Tsinghua University, Beijing, P. R. China.

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