IDEAS home Printed from https://ideas.repec.org/a/tec/eximia/v4y2022i1p159-171.html
   My bibliography  Save this article

Development of a Long-Range WAN Weather and Soil Monitoring System for Rural Farmers

Author

Listed:
  • Uchechi C. Njoku

    (Department of Electrical and Electronic Engineering, Federal University of Technology, Owerri, Imo State, Nigeria)

  • Cosmas K. Agubor

    (Department of Electrical and Electronic Engineering, Federal University of Technology, Owerri, Imo State, Nigeria)

  • Longinus S. Ezema

    (Department of Electrical and Electronic Engineering, Federal University of Technology, Owerri, Imo State, Nigeria)

Abstract

Increasing security concerns in areas where insurgency persist, calls for reduced visitation of the farmers to their farms, consequently affecting produce. This calls for remote monitoring of the environmental weather and soil conditions of the farmland in order to trigger irrigation automatically. Traditional broadband systems used for remote monitoring of soil and environmental weather conditions require high cost and focuses on enabling high data rates per device and are not energy efficient. In this work, Long Range Wireless Area Network (LoRaWAN) has been presented, a new trend in the evolution of the wireless communication technologies to provide energy efficient system that requires no data cost for monitoring. In achieving this, BME280-Temperature, Humidity and Pressure Sensors, ESP32 LoRa transmitter and receiver modules were used. Arduino C++ programming language was used for the ESP32 controller. A wireless access point was established between the transmitter and receiver; and sensor-data was transmitted seamlessly from the transmitter to the receiver, updating every 10seconds. The result at the receiver visualized on the Organic Light Emitting Diodes (OLED) or via mobile phone at no data cost shows the Received Signal Strength Indicator (RSSI), Temperature, Pressure and Humidity values at real time. Automatic DC Sprinkler system triggered when the BME280 sensor threshold values for pressure and temperature were met.

Suggested Citation

  • Uchechi C. Njoku & Cosmas K. Agubor & Longinus S. Ezema, 2022. "Development of a Long-Range WAN Weather and Soil Monitoring System for Rural Farmers," Eximia Journal, Plus Communication Consulting SRL, vol. 4(1), pages 159-171, April.
  • Handle: RePEc:tec:eximia:v:4:y:2022:i:1:p:159-171
    as

    Download full text from publisher

    File URL: https://eximiajournal.com/index.php/eximia/article/view/117/65
    Download Restriction: no

    File URL: https://eximiajournal.com/index.php/eximia/article/view/117
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ndubueze-Ogaraku, M.E. & Etowa, E.B. & Ekine, I.D. & Familusi, L.C., 2017. "Analysis of insecurity shocks and farmers’ resilience in the Niger Delta Region, Nigeria," Nigerian Agricultural Policy Research Journal (NAPReJ), Agricultural Policy Research Network (APRNet), vol. 2(1), August.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Jules Degila & Ida Sèmévo Tognisse & Anne-Carole Honfoga & Sèton Calmette Ariane Houetohossou & Fréjus Ariel Kpedetin Sodedji & Hospice Gérard Gracias Avakoudjo & Souand Peace Gloria Tahi & Achille Ep, 2023. "A Survey on Digital Agriculture in Five West African Countries," Agriculture, MDPI, vol. 13(5), pages 1-15, May.

    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.

      More about this item

      Keywords

      BME280 Sensors; DC Sprinkler; ESP32 LoRa; OLED; RSSI;
      All these keywords.

      JEL classification:

      • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
      • Z0 - Other Special Topics - - General

      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:tec:eximia:v:4:y:2022:i:1:p:159-171. 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: Tanase Tasente (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.