IDEAS home Printed from https://ideas.repec.org/a/bjc/journl/v12y2025i5p1130-1137.html
   My bibliography  Save this article

Hydrosense: Pioneering Iot for Precision Drip Irrigation and Sustainable Water Management

Author

Listed:
  • Pavithra M

    (PG & Research Department of Computer Science, Chikkanna Government Arts College, Tiruppur.)

  • Dr S Duraisamy

    (PG & Research Department of Computer Science, Chikkanna Government Arts College, Tiruppur.)

  • Dr R Shankar

    (PG & Research Department of Computer Science, Chikkanna Government Arts College, Tiruppur.)

Abstract

A smart irrigation system using real-time sensors can greatly improve water efficiency and resource management. Traditional farming often struggles with inefficient water use, which affects crop growth. To address this issue, a drip irrigation system powered by IoT was designed and evaluated, with its performance compared to an evapotranspiration-based system. The system includes sensors and microcontrollers that track Soil Water Content (SWC), soil temperature, humidity, and air temperature. Irrigation was scheduled based on predefined upper and lower moisture thresholds (half of the farm area’s capacity). Watering started when soil moisture dropped to 35% and stopped when it reached 85%. Sensor data was sent wirelessly to a cloud server, allowing farmers to access it from anywhere. The results showed that brinjal plants under the IoT-based system expanded by 1.3 cm more than those in the crop Evapotranspiration -based system. The leaves were also larger, both in length and width. The system was built to withstand outdoor conditions, with a water resistant enclosure ensuring durability.

Suggested Citation

  • Pavithra M & Dr S Duraisamy & Dr R Shankar, 2025. "Hydrosense: Pioneering Iot for Precision Drip Irrigation and Sustainable Water Management," International Journal of Research and Scientific Innovation, International Journal of Research and Scientific Innovation (IJRSI), vol. 12(5), pages 1130-1137, May.
  • Handle: RePEc:bjc:journl:v:12:y:2025:i:5:p:1130-1137
    as

    Download full text from publisher

    File URL: https://www.rsisinternational.org/journals/ijrsi/digital-library/volume-12-issue-5/1130-1137.pdf
    Download Restriction: no

    File URL: https://rsisinternational.org/journals/ijrsi/articles/hydrosense-pioneering-iot-for-precision-drip-irrigation-and-sustainable-water-management/
    Download Restriction: no
    ---><---

    More about this item

    Statistics

    Access and download statistics

    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:bjc:journl:v:12:y:2025:i:5:p:1130-1137. 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: Dr. Renu Malsaria (email available below). General contact details of provider: https://rsisinternational.org/journals/ijrsi/ .

    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.