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A Review of Perception Technologies for Berry Fruit-Picking Robots: Advantages, Disadvantages, Challenges, and Prospects

Author

Listed:
  • Chenglin Wang

    (Faculty of Modern Agricultural Engineering, Kunming University of Science and Technology, Kunming 650504, China)

  • Weiyu Pan

    (Faculty of Modern Agricultural Engineering, Kunming University of Science and Technology, Kunming 650504, China)

  • Tianlong Zou

    (Foshan-Zhongke Innovation Research Institute of Intelligent Agriculture and Robotics, Guangzhou 528251, China)

  • Chunjiang Li

    (Faculty of Modern Agricultural Engineering, Kunming University of Science and Technology, Kunming 650504, China)

  • Qiyu Han

    (Faculty of Modern Agricultural Engineering, Kunming University of Science and Technology, Kunming 650504, China)

  • Haoming Wang

    (Faculty of Modern Agricultural Engineering, Kunming University of Science and Technology, Kunming 650504, China)

  • Jing Yang

    (Faculty of Modern Agricultural Engineering, Kunming University of Science and Technology, Kunming 650504, China)

  • Xiangjun Zou

    (Foshan-Zhongke Innovation Research Institute of Intelligent Agriculture and Robotics, Guangzhou 528251, China
    College of Intelligent Manufacturing and Modern Industry, Xinjiang University, Urumqi 830046, China)

Abstract

Berries are nutritious and valuable, but their thin skin, soft flesh, and fragility make harvesting and picking challenging. Manual and traditional mechanical harvesting methods are commonly used, but they are costly in labor and can damage the fruit. To overcome these challenges, it may be worth exploring alternative harvesting methods. Using berry fruit-picking robots with perception technology is a viable option to improve the efficiency of berry harvesting. This review presents an overview of the mechanisms of berry fruit-picking robots, encompassing their underlying principles, the mechanics of picking and grasping, and an examination of their structural design. The importance of perception technology during the picking process is highlighted. Then, several perception techniques commonly used by berry fruit-picking robots are described, including visual perception, tactile perception, distance measurement, and switching sensors. The methods of these four perceptual techniques used by berry-picking robots are described, and their advantages and disadvantages are analyzed. In addition, the technical characteristics of perception technologies in practical applications are analyzed and summarized, and several advanced applications of berry fruit-picking robots are presented. Finally, the challenges that perception technologies need to overcome and the prospects for overcoming these challenges are discussed.

Suggested Citation

  • Chenglin Wang & Weiyu Pan & Tianlong Zou & Chunjiang Li & Qiyu Han & Haoming Wang & Jing Yang & Xiangjun Zou, 2024. "A Review of Perception Technologies for Berry Fruit-Picking Robots: Advantages, Disadvantages, Challenges, and Prospects," Agriculture, MDPI, vol. 14(8), pages 1-42, August.
    • Handle: RePEc:gam:jagris:v:14:y:2024:i:8:p:1346-:d:1454619
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    References listed on IDEAS

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    1. Trevor J. Jones & Etienne Jambon-Puillet & Joel Marthelot & P.-T. Brun, 2021. "Bubble casting soft robotics," Nature, Nature, vol. 599(7884), pages 229-233, November.
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