Smart Irrigation Method for Landscape Plants by Using Arduino Boards | ||||
| Al-Azhar Journal of Agricultural Engineering | ||||
| Articles in Press, Accepted Manuscript, Available Online from 31 January 2025 | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/azeng.2024.347540.1026 | ||||
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| Authors | ||||
Ahmed Rabea Eid   1; Alaa Eldin Ali Elmesery1; Abousrie A. H. Farag2
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| 1Department of Water and Irrigation Systems Engineering, Faculty of Agricultural Engineering, Al-Azhar University, Cairo, Egypt. | ||||
| 2Department of BioSystems Engineering, Faculty of Agriculture, Benha University, Qalubiya, Egypt. | ||||
| Abstract | ||||
| It is necessary to adopt smart irrigation methods. The manual irrigation method depends highly on human support in order to function and flow water to the plants. This leads to an ineffective irrigation system that causes water wastage and affects the growth of the plants. One of the most important aspects of irrigation management operations is how to control the operation of irrigation networks by optimizing irrigation technology using methods like the use of moisture sensors (ET) data and reusing wastewater for irrigation purposes. Therefore, the aim of this research is to develop a smart irrigation controller to manage the irrigation system based on the Arduino unit, which helps us monitor the moisture content, temperature, and humidity of the field and start irrigation if the moisture level is below normal. In addition, the Internet of Things and cloud computing will be integrated so that the use of this system can provide the end-user with flexible options for turf irrigation. The results indicated that All hardware and sensors were tested to check their performance, including the testing process for the Arduino, soil moisture sensor, and temperature sensor. The circular relay system worked flawlessly without errors, proving its suitability for measurement and control. Software test results confirm proper software functioning. The validation test plan confirmed the correct implementation of the detection software. The smart irrigation system is feasible and cost-effective for optimizing water resources. | ||||
| Keywords | ||||
| landscape irrigation; grass; turf; smart controller; sensors | ||||
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