Wireless Sensor Network-Based Artificial Intelligent Irrigation System: Challenges and Limitations
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, man...
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| Format: | Article |
| Language: | English |
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middle technical university
2023-09-01
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| Series: | Journal of Techniques |
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| Online Access: | https://journal.mtu.edu.iq/index.php/MTU/article/view/1420 |
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| author | Asaad Yaseen Ghareeb Sadik Kamel Gharghan Ammar Hussein Mutlag Rosdiadee Nordin |
| author_facet | Asaad Yaseen Ghareeb Sadik Kamel Gharghan Ammar Hussein Mutlag Rosdiadee Nordin |
| author_sort | Asaad Yaseen Ghareeb |
| collection | DOAJ |
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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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| format | Article |
| id | doaj-art-9c345006cd09454eaf613d3d60006c69 |
| institution | Kabale University |
| issn | 1818-653X 2708-8383 |
| language | English |
| publishDate | 2023-09-01 |
| publisher | middle technical university |
| record_format | Article |
| series | Journal of Techniques |
| spelling | doaj-art-9c345006cd09454eaf613d3d60006c692025-01-19T10:59:05Zengmiddle technical universityJournal of Techniques1818-653X2708-83832023-09-015310.51173/jt.v5i3.1420Wireless Sensor Network-Based Artificial Intelligent Irrigation System: Challenges and LimitationsAsaad Yaseen Ghareeb0Sadik Kamel Gharghan1Ammar Hussein Mutlag 2Rosdiadee Nordin3Electrical Engineering Technical College, Middle Technical University, Baghdad, Iraq.Electrical Engineering Technical College, Middle Technical University, Baghdad, Iraq.Electrical Engineering Technical College, Middle Technical University, Baghdad, Iraq.Department of Electrical, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, Bangi 43600, Selangor, Malaysia 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. https://journal.mtu.edu.iq/index.php/MTU/article/view/1420Artificial IntelligentChallengesIoTIrrigationWireless Sensor Network |
| spellingShingle | Asaad Yaseen Ghareeb Sadik Kamel Gharghan Ammar Hussein Mutlag Rosdiadee Nordin Wireless Sensor Network-Based Artificial Intelligent Irrigation System: Challenges and Limitations Journal of Techniques Artificial Intelligent Challenges IoT Irrigation Wireless Sensor Network |
| title | Wireless Sensor Network-Based Artificial Intelligent Irrigation System: Challenges and Limitations |
| title_full | Wireless Sensor Network-Based Artificial Intelligent Irrigation System: Challenges and Limitations |
| title_fullStr | Wireless Sensor Network-Based Artificial Intelligent Irrigation System: Challenges and Limitations |
| title_full_unstemmed | Wireless Sensor Network-Based Artificial Intelligent Irrigation System: Challenges and Limitations |
| title_short | Wireless Sensor Network-Based Artificial Intelligent Irrigation System: Challenges and Limitations |
| title_sort | wireless sensor network based artificial intelligent irrigation system challenges and limitations |
| topic | Artificial Intelligent Challenges IoT Irrigation Wireless Sensor Network |
| url | https://journal.mtu.edu.iq/index.php/MTU/article/view/1420 |
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