A machine vision system for tomato cluster harvesting robot

Naoshi Kondo, Kazuya Yamamoto, Hiroshi Shimizu, Koki Yata, Mitsutaka Kurita, Tomoo Shiigi, Mitsuji Monta, Takahisa Nishizu

Research output: Contribution to journalArticle

16 Citations (Scopus)

Abstract

Dutch style greenhouse for tomato production has become popular recently in many countries while cluster tomatoes have gained popularity among consumers.. To improve harvest efficiency of the cluster tomatoes in large scale Dutch production systems, it is desirable to replace manual labor with automated machines. In this paper, a machine vision system developed for autonomous tomato fruit cluster harvesting is described. Since the difficulty of recognizing the grasping point depended on exposure of plant parts and on robot access angle, acquired images were classified into three groups. The research results show a 73% success rate in automatically locating grasping points for the robotic end-effector on main stems of the cluster tomatoes that can be visually identified by human eyes.

Original languageEnglish
Pages (from-to)60-65
Number of pages6
JournalEngineering in Agriculture, Environment and Food
Volume2
Issue number2
DOIs
Publication statusPublished - Jan 1 2009

Keywords

  • Harvesting robot
  • Tomato cluster

ASJC Scopus subject areas

  • Food Science
  • Chemical Engineering(all)
  • Industrial and Manufacturing Engineering

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  • Cite this

    Kondo, N., Yamamoto, K., Shimizu, H., Yata, K., Kurita, M., Shiigi, T., Monta, M., & Nishizu, T. (2009). A machine vision system for tomato cluster harvesting robot. Engineering in Agriculture, Environment and Food, 2(2), 60-65. https://doi.org/10.1016/S1881-8366(09)80017-7