IDEAS home Printed from https://ideas.repec.org/a/eee/agiwat/v305y2024ics0378377424004748.html
   My bibliography  Save this article

Design and validation of a soil moisture-based wireless sensors network for the smart irrigation of a pear orchard

Author

Listed:
  • Hamouda, Fatma
  • Puig-Sirera, Àngela
  • Bonzi, Lorenzo
  • Remorini, Damiano
  • Massai, Rossano
  • Rallo, Giovanni

Abstract

In this study, a soil moisture-based wireless sensor network (SM-WSN) was transferred to support irrigation management at field scale. This smart irrigation service comes from a necessity and willingness to upgrade the regional weather-based decision support system of the Tuscany region (Italy). The sensor network was designed, hydrologically, and agronomically validated in a commercial pear orchard during four growing seasons (2019–2022). Initially, the micro irrigation system was assessed based on its water distribution uniformity (DU) performance. Then, a zoning analysis was carried out to delineate homogeneous areas according to the normalized difference vegetation index (NDVI) and soil bulk electrical conductivity (ECb). Unlike the ordinary irrigation scheduling applied in the farm, the smart system allowed maintaining the soil water content within a pre-defined optimal range, in which the upper and lower limits corresponded respectively to the soil field capacity and the threshold below which water stress occurs. Based on the smart irrigation management, a water-saving up to 50 % of the total water supplied with the ordinary scheduling was achieved during the investigated growing seasons. Moreover, the quality of the productions (i.e., °Brix, fruit size and flesh firmness) was in line with the standard market reference values. Consequently, the adoption of the new technology, which aims to identify the most appropriate irrigation management, has the potential to generate positive economic returns and reduce environmental impacts.

Suggested Citation

  • Hamouda, Fatma & Puig-Sirera, Àngela & Bonzi, Lorenzo & Remorini, Damiano & Massai, Rossano & Rallo, Giovanni, 2024. "Design and validation of a soil moisture-based wireless sensors network for the smart irrigation of a pear orchard," Agricultural Water Management, Elsevier, vol. 305(C).
  • Handle: RePEc:eee:agiwat:v:305:y:2024:i:c:s0378377424004748
    DOI: 10.1016/j.agwat.2024.109138
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378377424004748
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.agwat.2024.109138?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    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:eee:agiwat:v:305:y:2024:i:c:s0378377424004748. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/agwat .

    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.