Abstract
References
- Alsaadoun, S. & Tchier, F. (2024). Proposed intelligent irrigation system for Riyadh city using fuzzy logic. The Eurasia Proceedings of Science, Technology, Engineering & Mathematics (EPSTEM), 28, 397-407.
Abstract
Considering the insufficient rainfall and rapid evaporation of soil moisture in desert regions, irrigation becomes very challenging in Riyadh. Automation is therefore required for optimum productivity and water conservation. According to the vision of the Green Riyadh project, recycled water will be used in the irrigation system to irrigate all green lands. The method of irrigation and the quantity of water being used must both be considered. Since drought inhibits plant growth and excessive moisture limits plants' ability to absorb nutrients and raises the possibility of disease development, only the amount of water needed by plants should be used. Artificial intelligence and fuzzy logic are increasingly seen as solutions to be implemented in smart drip irrigation systems. The fuzzy logic control system will aid in water conservation given its shortage, which has become a major worldwide concern. The system also has the advantage of conserving moisture to counteract inadequate rainfall, saving electricity and reducing labor costs. For such advantages, an intelligent irrigation control system based on fuzzy logic adapted to the climate of Riyadh will be proposed. Based on the measured soil moisture, ambient temperature, air humidity and solar irradiance, the fuzzy controller calculates the necessary irrigation duration. The features of the fuzzy logic toolbox in MATLAB are used to create the proposed system.
Keywords
References
- Alsaadoun, S. & Tchier, F. (2024). Proposed intelligent irrigation system for Riyadh city using fuzzy logic. The Eurasia Proceedings of Science, Technology, Engineering & Mathematics (EPSTEM), 28, 397-407.
Details
| Primary Language | English |
|---|---|
| Subjects | Software Engineering (Other) |
| Journal Section | Articles |
| Authors | |
| Early Pub Date | July 29, 2024 |
| Publication Date | August 1, 2024 |
| Submission Date | February 22, 2024 |
| Acceptance Date | April 11, 2024 |
| Published in Issue | Year 2024 |
