Proceedings of the 8th URSI-NG Annual Conference (URSI-NG 2024)

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Development of a Mini-Weather Station for an Automated Irrigation System Operation

Authors
Olugbenga Kayode Ogidan1, 2, *, Samuel dare Oluwagbayide3, Omowunmi Mary Longe2
1Electrical and Electronics Engineering, Elizade University, Ilara-Mokin, Ondo State, Nigeria
2Electrical and Electronic Engineering Science, University of Johannesburg, Johannesburg, South Africa
3Agricultural and Bio-Environmental Engineering, Federal Polytechnic, Ilaro, Ogun State, Nigeria
*Corresponding author. Email: olugbenga.ogidan@elizadeuniversity.edu.ng
Corresponding Author
Olugbenga Kayode Ogidan
Available Online 4 February 2025.
DOI
10.2991/978-94-6463-644-4_18How to use a DOI?
Keywords
Automated Irrigation; Micro-controller; Weather station; Crop water requirement
Abstract

The use of inadequate water during irrigation results in water stress for the crops while too much water results in nutrients’ leaching both leading to poor crop yield. To address these challenges, a mini-weather station using weather data from an irrigation site is developed. A data acquisition system using an off-the-shelf Atmega 328 microcontroller on an Arduino board with humidity, temperature, wind speed, light intensity sensors and a real-time clock is set up. The obtained data from the sensors are fed into the microcontroller which uses the Penman-Monteith equation of the Food and Agricultural Organisation to calculate crop water requirement (CWR). In this work, the CWR for maize is computed in the microcontroller which in turn gives commands to pumps and valves in an attempt to regulate its irrigation water needs. A Python-based Graphical User Interface (GUI) is developed through which the operator (farmer) can receive weather information and CWR information on their PC in real-time. The farmer can initiate the irrigation process, make informed decisions thereby reducing overhead labour costs and take full charge of his farm. Experiments performed reveal that the sensors have a response time of less than 2 s. The uniqueness of this approach is that it computes CWR from local data obtained from the irrigation or farm site which is believed by researchers to be more accurate than online data.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 8th URSI-NG Annual Conference (URSI-NG 2024)
Series
Advances in Physics Research
Publication Date
4 February 2025
ISBN
978-94-6463-644-4
ISSN
2352-541X
DOI
10.2991/978-94-6463-644-4_18How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Olugbenga Kayode Ogidan
AU  - Samuel dare Oluwagbayide
AU  - Omowunmi Mary Longe
PY  - 2025
DA  - 2025/02/04
TI  - Development of a Mini-Weather Station for an Automated Irrigation System Operation
BT  - Proceedings of the 8th URSI-NG Annual Conference (URSI-NG 2024)
PB  - Atlantis Press
SP  - 181
EP  - 188
SN  - 2352-541X
UR  - https://doi.org/10.2991/978-94-6463-644-4_18
DO  - 10.2991/978-94-6463-644-4_18
ID  - Ogidan2025
ER  -