IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i17p10850-d902816.html
   My bibliography  Save this article

Cost and Workload Assessment of Agricultural Drone Sprayer: A Case Study of Rice Production in Japan

Author

Listed:
  • Shotaro Umeda

    (Department of Industrial Administration, Graduate School of Science and Technology, Tokyo University of Science, Tokyo 162-8601, Japan)

  • Naoki Yoshikawa

    (Department of Environmental Policy and Planning, School of Environmental Science, The University of Shiga Prefecture, Hikone 522-8533, Japan)

  • Yuna Seo

    (Department of Industrial Administration, Graduate School of Science and Technology, Tokyo University of Science, Tokyo 162-8601, Japan)

Abstract

The shortage of labor is one of the major challenges facing agriculture in Japan. Technological innovations are required to overcome the limitations of the workload per worker. One such innovation is smart agriculture, which utilizes advanced technologies such as robots, AI, and IoT. This study aimed to provide data on the workload and pest control costs for the development of sustainable agriculture. The cost of pest control was compared between a boom sprayer, power sprayer, and unmanned aerial vehicles (UAVs) for two model rice farmers. The Ovako Working Posture Analysis System (OWAS) and metabolic equivalent (METs) were used to measure workloads while using UAVs. The labor cost was reduced to half with the usage of UAVs compared with conventional machines. The resulting METs, or physical activity during pest-control work using UAVs, could be lower than those when using pest control machines. Through OWAS, 63.86% of the total jobs using UAVs were identified as having a low risk of musculoskeletal injury. The results suggest that UAVs could compensate for the shortage of workers, and these are effective tools to support the expansion of the agricultural area.

Suggested Citation

  • Shotaro Umeda & Naoki Yoshikawa & Yuna Seo, 2022. "Cost and Workload Assessment of Agricultural Drone Sprayer: A Case Study of Rice Production in Japan," Sustainability, MDPI, vol. 14(17), pages 1-11, August.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:17:p:10850-:d:902816
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/17/10850/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/14/17/10850/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Yuna Seo & Shotaro Umeda, 2021. "Evaluating Farm Management Performance by the Choice of Pest-Control Sprayers in Rice Farming in Japan," Sustainability, MDPI, vol. 13(5), pages 1-10, March.
    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. Finbarr G. Horgan & Quynh Vu & Enrique A. Mundaca & Shweta Dabholkar & Mark Davis & Josef Settele & Eduardo Crisol-Martínez, 2023. "Escaping the Lock-in to Pesticide Use: Do Vietnamese Farmers Respond to Flower Strips as a Restoration Practice or Pest Management Action?," Sustainability, MDPI, vol. 15(16), pages 1-25, August.
    2. Fenfen Li & Bo Dai & Qifan Wu, 2021. "Dynamic Green Growth Assessment of China’s Industrial System with an Improved SBM Model and Global Malmquist Index," Mathematics, MDPI, vol. 9(20), pages 1-26, 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:jsusta:v:14:y:2022:i:17:p:10850-:d:902816. 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.