IDEAS home Printed from https://ideas.repec.org/a/aac/ijirss/v5y2022i4p297-305id732.html
   My bibliography  Save this article

Impact of Autonomous Drone Pollination in Date Palms

Author

Listed:
  • Rehna V.J
  • Mohammad Nizamuddin Inamdar

Abstract

Artificial pollination of date palms has been practiced over thousands of years to improve the fruiting traits in date palms. Due to the changes in agricultural practices in the modern period, mechanical pollination techniques were tried in some parts of the world. But machine pollination of date palms has not gained popularity worldwide owing to economic, environmental, or technical challenges. Of late, agricultural drones were introduced to pollinate date palms in significantly less time and reduce the risk of injury, manpower, and cost. Modern drones can have integrated, built-in smart data-collecting devices to provide the farmers with all relevant information. Although this autonomous method provides a number of benefits in terms of labor and cost, pollination time, ease of use, etc, studies have not yet entirely evaluated the efficacy of drone pollination on date palms. This paper summarizes the outcomes of an autonomous drone pollination study performed during the 2022 season in the orchards of Oman. The pros and cons of this artificial aerial pollination method are examined in the paper. The impact of this method of pollination on crop yield, fruit quality, and fruit set percentage are analyzed. This study also explores the limitations of the autonomous drone pollination system and throws light on ways to improve its efficiency.

Suggested Citation

  • Rehna V.J & Mohammad Nizamuddin Inamdar, 2022. "Impact of Autonomous Drone Pollination in Date Palms," International Journal of Innovative Research and Scientific Studies, Innovative Research Publishing, vol. 5(4), pages 297-305.
    • Handle: RePEc:aac:ijirss:v:5:y:2022:i:4:p:297-305:id:732
    as

    Download full text from publisher

    File URL: http://www.ijirss.com/index.php/ijirss/article/view/732/274
    Download Restriction: no
    File URL: http://www.ijirss.com/index.php/ijirss/article/view/732/296
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Sohn, Stefanie, 2024. "Consumer perceived risk of using autonomous retail technology," Journal of Business Research, Elsevier, vol. 171(C).
    2. Anderson, Benjamin & Rane, Jayaraj & Khan, Rabia, 2023. "Distributed wind-hybrid microgrids with autonomous controls and forecasting," Applied Energy, Elsevier, vol. 333(C).

    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:aac:ijirss:v:5:y:2022:i:4:p:297-305:id:732. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Natalie Jean (email available below). General contact details of provider: https://ijirss.com/index.php/ijirss/ .

    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.