Implementing a Smart Irrigation System using IoT Technology to Achieve Saudi's Green Ambition

With the global rise in population and the consequential surge in demand for agricultural products, efficient water management has become imperative to sustain agricultural practices. In arid regions like Saudi Arabia, where water scarcity poses a significant challenge to agriculture, adopting smart irrigation systems integrated with Internet of Things (IoT) technology emerges as a promising solution. This study explores the implementation of a Smart Irrigation System (SIS) utilizing IoT technology to align with Saudi Arabia's ambitious goals of environmental sustainability and agricultural self-sufficiency. Methods: The proposed system uses a microprocessor that leverages IoT devices such as soil moisture sensors, salinity sensors, ultrasonic sensors, water pumps, and automated actuators to create an intelligent, data-driven irrigation framework. Real-time data from these sensors were collected and analysed using algorithms to determine precise irrigation requirements based on factors like soil moisture levels, weather conditions, and crop types. By integrating IoT technology, the system facilitates remote monitoring and control through a userfriendly interface accessible via smartphones or computers. This seamless integration of digital technologies optimizes water usage, reduces wastage, and enhances overall agricultural productivity. The prototype explained the methods trial data were collected and the results are promising. Also, the statistical analysis was achieved. Results: The proposed system displays data from moisture and TDS soil sensors. The ultrasonic distance sensor detects the water level in a tank, and the pump waters the plants when the soil moisture is low. Finally, an IoT module was integrated with these sensors to send notifications wirelessly via Wi-Fi or GSM to the user or farmer. The system can control and monitoring in real time. ANOVA statistical analysis indicates a significant difference with p <.05 in the correlations between salinity, TDS, moisture, and water respectively. measurements. That means the study can have success if applied on a larger scale. Conclusion: The project represents a transformative approach toward achieving Saudi Arabia's green ambition. By harnessing the power of data-driven decision-making, this innovative solution not only addresses the pressing issue of water scarcity but also fosters sustainable agriculture, economic growth, and environmental preservation, thus paving the way for a greener and more prosperous future and in line with the Kingdom Vision 2030.