IDEAS home Printed from https://ideas.repec.org/a/abq/mccss1/v1y2022i3p102-113.html

Optimizing Water Resources: A Sensor-Based Framework for Precision Irrigation Scheduling

Author

Listed:
  • Zanib Javed

    (Islamia College Lahore)

Abstract

Pakistan's agricultural sector faces the pressing challenge of meeting rising food demands amidst dwindling natural resources. Water scarcity, especially, has emerged as a critical issue, ranking Pakistan as the fourth most water-stressed nation globally. Timely and adequate irrigation practices are imperative for optimal crop growth. Traditional irrigation methods often lead to water wastage and crop damage, while the cost of available smart irrigation systems remains prohibitive for many farmers. To address these challenges, this paper proposes a cost-effective smart crop monitoring and watering system integrating IoT and a smartphone application. The framework emphasizes sensor-based precision irrigation, utilizing real-time data on soil moisture, weather conditions, and crop growth stages. Leveraging IoT technology, the system incorporates wireless sensor networks, a solar photovoltaic system, GSM modules, Bluetooth, and various sensors interconnected with a microcontroller. Trials conducted in Sialkot, Pakistan, from 2019-2020 demonstrated the system's effectiveness in regulating water flow, monitoring crop growth, and alerting farmers about potential risks via a mobile application. By combining sensor-based precision irrigation with IoT, this framework offers a solution to optimize water usage, mitigate crop deterioration due to unpredictable rainfall, and minimize water wastage in agriculture. The system's integration with smartphones facilitates enhanced control and monitoring, empowering farmers to make informed decisions regarding irrigation scheduling. This unified approach not only enhances crop yield but also contributes to sustainable agricultural practices in the face of escalating water scarcity and evolving climatic challenges

Suggested Citation

  • Zanib Javed, 2022. "Optimizing Water Resources: A Sensor-Based Framework for Precision Irrigation Scheduling," Magna Carta: Contemporary Social Science, 50sea, vol. 1(3), pages 102-113, August.
    • Handle: RePEc:abq:mccss1:v:1:y:2022:i:3:p:102-113
    as

    Download full text from publisher

    File URL: https://journal.50sea.com/index.php/MC/article/view/623/1162
    Download Restriction: no
    File URL: https://journal.50sea.com/index.php/MC/article/view/623
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Sana Tanveer, 2022. "Role of Welfare Organizations in Advancing Societal Image," Magna Carta: Contemporary Social Science, 50sea, vol. 1(2), pages 61-71, May.
    2. Luthra, S. K. & Kaledonkar, M. J. & Singh, O. P. & Tyagi, N. K., 1997. "Design and development of an auto irrigation system," Agricultural Water Management, Elsevier, vol. 33(2-3), pages 169-181, June.
    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. Romero, R. & Muriel, J.L. & García, I. & Muñoz de la Peña, D., 2012. "Research on automatic irrigation control: State of the art and recent results," Agricultural Water Management, Elsevier, vol. 114(C), pages 59-66.
    2. Nishihara, E. & Inoue, M. & Kondo, K. & Takahashi, K. & Nakata, N., 2001. "Spinach yield and nutritional quality affected by controlled soil water matric head," Agricultural Water Management, Elsevier, vol. 51(3), pages 217-229, November.
    3. Muhammad Jhanzaib, 2022. "Assessing the Influence of Income Tax Policies on Diminishing Monetary Disparities," Magna Carta: Contemporary Social Science, 50sea, vol. 1(4), pages 156-166, November.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    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:abq:mccss1:v:1:y:2022:i:3:p:102-113. 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: Dr. Shehzad Hassan (email available below). General contact details of provider: .

    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.