IDEAS home Printed from https://ideas.repec.org/a/gam/jagris/v12y2022i9p1361-d904390.html
   My bibliography  Save this article

Biomechanical Characterization of Bionic Mechanical Harvesting of Tea Buds

Author

Listed:
  • Kun Luo

    (School of Engineering, Anhui Agricultural University, Hefei 230036, China)

  • Zhengmin Wu

    (State Key Laboratory of Tea Plant Biology and Utilization, Anhui Agricultural University, Hefei 230036, China)

  • Chengmao Cao

    (School of Engineering, Anhui Agricultural University, Hefei 230036, China)

  • Kuan Qin

    (School of Engineering, Anhui Agricultural University, Hefei 230036, China)

  • Xuechen Zhang

    (School of Engineering, Anhui Agricultural University, Hefei 230036, China)

  • Minhui An

    (School of Engineering, Anhui Agricultural University, Hefei 230036, China)

Abstract

To date, mechanized picking of famous tea (bud, one bud one leaf) causes a lot of damage. Manual picking results in high-quality tea but the process is inefficient. Therefore, in order to improve the quality of mechanically harvested tea buds, the study of bionic picking is beneficial to reduce the damage rate of mechanical picking. In this paper, the manual flexible picking process is studied, and a bionic bladeless mechanical picking mechanics model is developed. The relationship between the mechanical properties and structural deformation of tea stalks is obtained by microstructural observation and mechanical experimental analysis and determination of the bud bionic picking mechanics flow by combined loading tests is carried out. The results show that the key factor for low damage in tea picking is the precise flexible force applied to different parts of the shoot tip during pinching, upward, and picking. The biological force of tea stalks is closely related to the stalk diameter and maturity of stalk tissue development. The larger the xylem of the tea stalk, the stronger its resistance to bending, stretching, and deformation. The stalks at the tender end of the tea are more resilient than the lower stalks and will not break under the action of large angle bending. Additionally, the stalks at the shoot tip have significantly lower pull-off force than the stalks at other places. By simulating the manual picking process, the mechanical picking mechanical parameters were determined to be a clamping pressure of 340 kPa, bending force of 0.134 N, and pull-off force of 5.1 N. These findings help the design of low-damage pickers for famous tea and provide a reference for low-damage bionic picking of tea.

Suggested Citation

  • Kun Luo & Zhengmin Wu & Chengmao Cao & Kuan Qin & Xuechen Zhang & Minhui An, 2022. "Biomechanical Characterization of Bionic Mechanical Harvesting of Tea Buds," Agriculture, MDPI, vol. 12(9), pages 1-14, September.
  • Handle: RePEc:gam:jagris:v:12:y:2022:i:9:p:1361-:d:904390
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2077-0472/12/9/1361/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2077-0472/12/9/1361/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Wenchao Wu & Yongguang Hu & Zehui Jiang, 2022. "Investigation on the Bending Behavior of Tea Stalks Based on Non-Prismatic Beam with Virtual Internodes," Agriculture, MDPI, vol. 12(3), pages 1-16, March.
    2. Yingpeng Zhu & Chuanyu Wu & Junhua Tong & Jianneng Chen & Leiying He & Rongyang Wang & Jiangming Jia, 2021. "Deviation Tolerance Performance Evaluation and Experiment of Picking End Effector for Famous Tea," Agriculture, MDPI, vol. 11(2), pages 1-18, February.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Chunyu Yan & Zhonghui Chen & Zhilin Li & Ruixin Liu & Yuxin Li & Hui Xiao & Ping Lu & Benliang Xie, 2022. "Tea Sprout Picking Point Identification Based on Improved DeepLabV3+," Agriculture, MDPI, vol. 12(10), pages 1-15, October.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jagris:v:12:y:2022:i:9:p:1361-:d:904390. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.