Durio Zibethinus L Plantation Intelligent Web-Based Irrigation System using Fuzzy Logic (DuWIMS) Based on IoT
Ahmad, Zahari Awang; Tan, Shie Cho; Soh, Ping Jack; Abdullah, Abu Hassan; Ahmad, Muhammad Imran; Daud, Shuhaizar (2024-07-28)
Penerbit Akademia Baru
28.07.2024
Ahmad, Z. A., Tan, S. C., Soh, P. J., Abdullah, A. H., Ahmad, M. I., & Daud, S. (2024). Durio Zibethinus L Plantation Intelligent Web-Based Irrigation System using Fuzzy Logic (DuWIMS) Based on IoT. Journal of Advanced Research in Applied Sciences and Engineering Technology, 49(1), 161–182. https://doi.org/10.37934/araset.49.1.161182
https://creativecommons.org/licenses/by-nc/4.0/
Beginning 2021, Journal of Advanced Research in Applied Sciences and Engineering Technology is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
https://creativecommons.org/licenses/by-nc/4.0/
Beginning 2021, Journal of Advanced Research in Applied Sciences and Engineering Technology is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
https://creativecommons.org/licenses/by-nc/4.0/
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:oulu-202409125814
https://urn.fi/URN:NBN:fi:oulu-202409125814
Tiivistelmä
Abstract
In response to the challenges posed by the recent pandemic on traditional farming in Malaysia, this paper proposes DuWIMS, an innovative smart irrigation system that integrates a modern web interface with an IoT-based system. Utilizing an array of sensors for real-time data collection, the system enhances irrigation efficiency through a dual-mode operation: manual remote control and automated irrigation via a fuzzy logic model. This system, tested on a durian farm in Kedah, Malaysia, significantly reduced irrigation time from two hours to approximately 50 minutes for 65 trees and decreased water usage by about 25%. Furthermore, durian trees irrigated with this system exhibited improved growth compared to those under traditional irrigation methods. Operational efficiency was bolstered with remote irrigation control and reliable performance, as evidenced by no system downtime over a three-month period. The deployment of the fuzzy logic model on a cloud server, serving as a backend API, also proved cost-effective by negating the need for on-site computing units. These findings underscore the potential of DuWIMS to revolutionize agricultural practices, particularly in challenging times, by optimizing resource usage and promoting sustainable farming.
In response to the challenges posed by the recent pandemic on traditional farming in Malaysia, this paper proposes DuWIMS, an innovative smart irrigation system that integrates a modern web interface with an IoT-based system. Utilizing an array of sensors for real-time data collection, the system enhances irrigation efficiency through a dual-mode operation: manual remote control and automated irrigation via a fuzzy logic model. This system, tested on a durian farm in Kedah, Malaysia, significantly reduced irrigation time from two hours to approximately 50 minutes for 65 trees and decreased water usage by about 25%. Furthermore, durian trees irrigated with this system exhibited improved growth compared to those under traditional irrigation methods. Operational efficiency was bolstered with remote irrigation control and reliable performance, as evidenced by no system downtime over a three-month period. The deployment of the fuzzy logic model on a cloud server, serving as a backend API, also proved cost-effective by negating the need for on-site computing units. These findings underscore the potential of DuWIMS to revolutionize agricultural practices, particularly in challenging times, by optimizing resource usage and promoting sustainable farming.
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