IDEAS home Printed from https://ideas.repec.org/a/gam/jagris/v13y2023i8p1488-d1203560.html
   My bibliography  Save this article

Key Technologies of Plug Tray Seedling Transplanters in Protected Agriculture: A Review

Author

Listed:
  • Wei Liu

    (College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China
    Key Laboratory of Intelligent Equipment and Robotics for Agriculture, Hangzhou 310058, China)

  • Shijie Tian

    (College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China)

  • Qingyu Wang

    (College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China
    Key Laboratory of Intelligent Equipment and Robotics for Agriculture, Hangzhou 310058, China)

  • Huanyu Jiang

    (College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China
    Key Laboratory of Intelligent Equipment and Robotics for Agriculture, Hangzhou 310058, China)

Abstract

The process of plug tray seedling transplanting is a crucial step in protected agriculture production. Due to issues such as high labor intensity, poor consistency of work quality, and low efficiency, the application of automated transplanting machines has provided a solution to these issues. For the diversity of transplanting operations, various mechanical structures and technological applications have been developed for automated transplanting equipment. Therefore, this paper provides systematic research of current studies on the key transplanter technologies. Firstly, through an analysis of the types of transplanting operations, the technical requirements of automated transplanting equipment for different operation types are elucidated. Subsequently, the key technologies applied in transplanting machines are discussed from the perspectives of substrate physical characteristics, end effectors, integration of multiple end effectors, vision systems, and transplanting path planning. Moreover, an analysis is conducted on the advantages, disadvantages, and application scenarios of different research methods for each key technology. Lastly, the existing problems and technical difficulties of the transplanting machine are summarized, and future research directions are discussed. This analysis provides a valuable reference for further research and development in the field of transplanting machines for plug tray seedlings.

Suggested Citation

  • Wei Liu & Shijie Tian & Qingyu Wang & Huanyu Jiang, 2023. "Key Technologies of Plug Tray Seedling Transplanters in Protected Agriculture: A Review," Agriculture, MDPI, vol. 13(8), pages 1-19, July.
  • Handle: RePEc:gam:jagris:v:13:y:2023:i:8:p:1488-:d:1203560
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2077-0472/13/8/1488/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2077-0472/13/8/1488/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Shengyong Xu & Yi Zhang & Wanjing Dong & Zhilong Bie & Chengli Peng & Yuan Huang, 2023. "Early Identification and Localization Algorithm for Weak Seedlings Based on Phenotype Detection and Machine Learning," Agriculture, MDPI, vol. 13(1), pages 1-19, January.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Zhiwei Tian & Ang Gao & Wei Ma & Huanyu Jiang & Dongping Cao & Weizi Wang & Jianping Qian & Lijia Xu, 2024. "Modeling the Mechanical Properties of Root–Substrate Interaction with a Transplanter Using Artificial Neural Networks," Agriculture, MDPI, vol. 14(5), pages 1-12, April.
    2. Jinbo Ren & Chongcheng Chen & Difa Bao & Xinhui Wu & Shuhe Zheng, 2024. "Simulation Analysis and Optimization Design of Paddy Field Mud Spreader Blades for Uniform Dispersion," Agriculture, MDPI, vol. 14(3), pages 1-20, February.
    3. Sheng Sun & Bin Hu & Xinming Wu & Xin Luo & Jian Wang, 2024. "Research on a Vibrationally Tuned Directional Seed Supply Method Based on ADAMS-EDEM Coupling and the Optimization of System Parameters," Agriculture, MDPI, vol. 14(3), pages 1-19, March.
    4. Jiawei Shi & Jianping Hu & Jing Li & Wei Liu & Rencai Yue & Tengfei Zhang & Mengjiao Yao, 2024. "Design and Experiment of Planting Mechanism of Automatic Transplanter for Densely Planted Vegetables," Agriculture, MDPI, vol. 14(8), pages 1-22, August.

    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. Peisen Yuan & Shuning Xu & Zhaoyu Zhai & Huanliang Xu, 2023. "Phenotype Analysis of Arabidopsis thaliana Based on Optimized Multi-Task Learning," Mathematics, MDPI, vol. 11(18), pages 1-18, September.

    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:13:y:2023:i:8:p:1488-:d:1203560. 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.