Wireless Sensor Network-Based Artificial Intelligent Irrigation System: Challenges and Limitations

Asaad Yaseen Ghareeb; Sadik Kamel Gharghan; Ammar Hussein Mutlag; Rosdiadee Nordin

doi:10.51173/jt.v5i3.1420

Authors

Asaad Yaseen Ghareeb Electrical Engineering Technical College, Middle Technical University, Baghdad, Iraq.
Sadik Kamel Gharghan Electrical Engineering Technical College, Middle Technical University, Baghdad, Iraq.
Ammar Hussein Mutlag Electrical Engineering Technical College, Middle Technical University, Baghdad, Iraq.
Rosdiadee Nordin Department of Electrical, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, Bangi 43600, Selangor, Malaysia

DOI:

https://doi.org/10.51173/jt.v5i3.1420

Keywords:

Artificial Intelligent, Challenges, IoT, Irrigation, Wireless Sensor Network

Abstract

As the global population and economy grow rapidly, the demand for accessible freshwater sources also increases to meet the rising consumption. However, this has resulted in several challenges, such as the global water crisis, drought, and scarcity of freshwater resources. To address this issue, many farmers worldwide rely on traditional irrigation systems despite their high water consumption. Therefore, there is a need to improve water usage efficacy in irrigated farming. This can be achieved by leveraging the Internet of Things (IoT) and advanced control technologies for better monitoring and managing irrigated farming. This article presents the findings of a comprehensive literature review on irrigation monitoring and sophisticated control systems, focusing on recent studies published within the last four years. The latest research on precision irrigation monitoring and cutting-edge control methods is highlighted. This study aims to serve as a valuable resource for those interested in understanding monitoring and advanced control prospects in the context of irrigated agriculture, as well as for academics seeking to stay up-to-date on the latest developments and identify research gaps that need to be addressed.

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Author Biographies

Asaad Yaseen Ghareeb, Electrical Engineering Technical College, Middle Technical University, Baghdad, Iraq.

Asaad Yaseen Ghareeb received his B.Sc. in Computer Engineering Techniques from the Electrical Engineering Technical College at the Middle Technical University in Baghdad, Iraq. He is currently pursuing an MSc degree in the same field and has a keen research interest in wireless sensor networks.

Sadik Kamel Gharghan, Electrical Engineering Technical College, Middle Technical University, Baghdad, Iraq.

SADIK KAMEL GHARGHAN (Member, IEEE) received the B.Sc. degree in electrical and electronics engineering and the M.Sc. degree in communication engineering from the University of Technology, Iraq, in 1990 and 2005, respectively, and the Ph.D. degree in communication engineering from Universiti Kebangsaan Malaysia (UKM), Malaysia, in 2016. He is currently with the Department of Medical Instrumentation Techniques Engineering, Electrical Engineering Technical College, Middle Technical University, Baghdad, Iraq, as a Professor. His research interests include energy-efficient wireless sensor networks, biomedical sensors, microcontroller applications, WSN localization based on artificial intelligence techniques and optimization algorithms, indoor and outdoor path loss modeling, harvesting technique, wireless power transfer, jamming on direct sequence spread spectrums, and drone in medical applications.

Ammar Hussein Mutlag , Electrical Engineering Technical College, Middle Technical University, Baghdad, Iraq.

AMMAR HUSSEIN MUTLAG (Member, IEEE) received the B.Sc. degree in control and computer engineering and the M.Sc. degree in control and computer engineering from the University of Technology, Iraq, in 2000 and 2005, respectively, and the Ph.D. degree in control and computer engineering from Universiti Kebangsaan Malaysia (UKM), Malaysia, in 2016. He is currently the Vice Dean of scientific and students affairs with the Electrical Engineering Technical College, Middle Technical University, Baghdad, Iraq, as an Assistant Professor. His research interests include intelligent controllers, microcontroller applications, developed optimization algorithms, intelligent controllers-based authentication, and intelligent decision-support systems.

Rosdiadee Nordin, Department of Electrical, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, Bangi 43600, Selangor, Malaysia

ROSDIADEE NORDIN received the B.Eng. degree from UniversitiKebangsaan Malaysia, in 2001,
and the Ph.D. degree from the University of Bristol, U.K., in 2011. He is currently an Professor with the Centre of Advanced Electronic and Communication Engineering, Universiti Kebangsaan Malaysia, majoring in subjects related to wireless networks and mobile communications. His research interests include wireless sensor networks, the wireless Internet of Things (IoT), channel modeling, resource allocation and next generation wireless communication techniques, such as massive-MIMO for fth generation (5G) networks.

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