IDEAS home Printed from https://ideas.repec.org/a/wsi/jikmxx/v20y2021isupp01ns0219649221400062.html
   My bibliography  Save this article

Crop Yield Estimation Using the Internet of Things

Author

Listed:
  • B. Mishachandar

    (School of Computer Science and Engineering, Vellore Institute of Technology, Tamil Nadu, India)

  • S. Vairamuthu

    (School of Computer Science and Engineering, Vellore Institute of Technology, Tamil Nadu, India)

Abstract

Internet of Things (IoT) in the current era is liable for its drastic transforming impact on human life, especially in the agricultural sector. IoT has transformed conventional agriculture into smart agriculture making agriculture more feasible in recent days. In this paper, it is proposed to develop a smart agricultural solution for using technologies like Arduino, IoT and Wireless Sensor Network. The developed system prototype uses IoT to perform three main functions namely, self/smart irrigation, crop productivity estimation and alerts cattle grazing. It also provides easy accessibility of the sensed information using an Android-based application and Bluetooth for short-range communication. The features of this paper include monitoring temperature, moisture level, detecting presence of inflammable gases and an emergency alert notification to alert any decline in crop health and cattle grazing directly to the farmer’s smartphone using Android app and Bluetooth. The desirable yielding conditions of a crop are programmed in the android app and compared with the sensed information. With the difference in levels the crop yield is estimated beforehand. A complete health monitoring system is developed using Arduino to perform a periodic check on the growth of the crop and its yielding conditions. Because of its feasibility, energy efficiency and cost-effectiveness, the system can be used in water-deficient agricultural lands with less human intervention.

Suggested Citation

  • B. Mishachandar & S. Vairamuthu, 2021. "Crop Yield Estimation Using the Internet of Things," Journal of Information & Knowledge Management (JIKM), World Scientific Publishing Co. Pte. Ltd., vol. 20(supp01), pages 1-13, February.
  • Handle: RePEc:wsi:jikmxx:v:20:y:2021:i:supp01:n:s0219649221400062
    DOI: 10.1142/S0219649221400062
    as

    Download full text from publisher

    File URL: http://www.worldscientific.com/doi/abs/10.1142/S0219649221400062
    Download Restriction: Access to full text is restricted to subscribers

    File URL: https://libkey.io/10.1142/S0219649221400062?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.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Muthumanickam Dhanaraju & Poongodi Chenniappan & Kumaraperumal Ramalingam & Sellaperumal Pazhanivelan & Ragunath Kaliaperumal, 2022. "Smart Farming: Internet of Things (IoT)-Based Sustainable Agriculture," Agriculture, MDPI, vol. 12(10), 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:wsi:jikmxx:v:20:y:2021:i:supp01:n:s0219649221400062. 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: Tai Tone Lim (email available below). General contact details of provider: http://www.worldscinet.com/jikm/jikm.shtml .

    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.