Development of Mobile Eggplant Grading Robot for Dynamic In-field Variability Sensing<BR>- Manufacture of Robot and Performance Test -

• CHONG Vui Kiong

  Graduate School of Environmental Science, Okayama University

• MONTA Mitsuji

  Graduate School of Environmental Science, Okayama University

• NINOMIYA Kazunori

  S. I. Seiko Co., Ltd.

• KONDO Naoshi

  Graduate School of Agriculture, Kyoto University

• NAMBA Kazuhiko

  Graduate School of Environmental Science, Okayama University

• TERASAKI Eichi

  Graduate School of Environmental Science, Okayama University

• NISHI Takao

  D add ninth Co.,Ltd.

• GOTO Tanjuro

  Graduate School of Environmental Science, Okayama University

抄録

A machine vision-based mobile eggplant grading robot was developed as a model to sense and log essential data needed for precision farming and traceability of agricultural crops. The robot consisted of battery railcar, trailer, grading mechanisms including manipulator, end-effector, machine vision and divider. Manually operated, the robot moved along crop ridges during the harvesting process with the grading mechanisms all mounted on the trailer. The robot sensed and logged the field spatial variability dynamically by grading manually harvested eggplant fruit of individual tree. This paper presents the details of manufactured robot and results of the performance test conducted. Test results showed that the robot was feasible for field spatial variability sensing in greenhouse.

収録刊行物

• Engineering in Agriculture, Environment and Food

  Engineering in Agriculture, Environment and Food 1 (2), 68-76, 2008

  Asian Agricultural and Biological Engineering Association

キーワード

• eggplant
• grading
• machine vision
• post harvesting
• traceability
• precision farming

詳細情報

• CRID: 1390001205273627392
• NII論文ID: 130002077490
• DOI: 10.11165/eaef.1.68
• ISSN: 18818366
• 本文言語コード: en
• データソース種別:
  • JaLC
  • CiNii Articles
  • Crossref
• 抄録ライセンスフラグ: 使用不可