IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v13y2021i21p11685-d662377.html
   My bibliography  Save this article

Influence of Plant Leaf Moisture Content on Retention of Electrostatic-Induced Droplets

Author

Listed:
  • Jing Ma

    (Key Laboratory of Plant Protection Engineering, Ministry of Agriculture and Rural Affairs, Zhenjiang 212013, China)

  • Kuan Liu

    (Key Laboratory of Plant Protection Engineering, Ministry of Agriculture and Rural Affairs, Zhenjiang 212013, China)

  • Chenggong Chen

    (Key Laboratory of Plant Protection Engineering, Ministry of Agriculture and Rural Affairs, Zhenjiang 212013, China)

  • Fiaz Ahmad

    (Department of Agricultural Engineering, Bahauddin Zakariya University, Multan 60800, Pakistan)

  • Baijing Qiu

    (Key Laboratory of Plant Protection Engineering, Ministry of Agriculture and Rural Affairs, Zhenjiang 212013, China)

Abstract

Agricultural electrostatic spraying can help to reduce the threat of pesticides to human health and the environment. However, the influence of the law of leaf water content on electrostatic spraying has not been studied. In this study, we used leaf water content as an evaluation index of electrostatic spraying technology and verified the correlation between leaf water content and leaf capacitance value by statistical methods in order to achieve in vivo measurements of leaf water content in relation to tomato, pepper, and wheat crop leaves. Using these in vivo measurements of leaf water content and retention, we demonstrate that the retention of electrostatic droplets on the leaves of all three crops increases with increasing water content; the retention per unit area of leaves increased by 6.1 mg / cm 2 , an increase of 7.29%. Increasing the electrostatic spray voltage (10~30 kV) enhances the retention of droplets on the leaves of the crops, with a maximum increase of 6.1. The retention of non-electrostatic droplets decreases with increasing water content; retention at the lowest water content was 1.103~1.131 times greater than at the highest water content. This study has implications for research related to improving the retention of electrostatic droplets in leaves.

Suggested Citation

  • Jing Ma & Kuan Liu & Chenggong Chen & Fiaz Ahmad & Baijing Qiu, 2021. "Influence of Plant Leaf Moisture Content on Retention of Electrostatic-Induced Droplets," Sustainability, MDPI, vol. 13(21), pages 1-15, October.
  • Handle: RePEc:gam:jsusta:v:13:y:2021:i:21:p:11685-:d:662377
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/13/21/11685/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/13/21/11685/
    Download Restriction: no
    ---><---

    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:13:y:2021:i:21:p:11685-:d:662377. 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: 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.