<![CDATA[Water scarcity and inefficient irrigation practices remain key challenges in agriculture. This study aims to design and evaluate an IoT-based smart drip irrigation system controlled by an ESP32 microcontroller for optimizing water use. The system integrates a calibrated YL-69 soil moisture sensor and DHT21 temperature-humidity sensor for real-time environmental monitoring, with control and data visualization provided via the Blynk platform. Experimental results demonstrated that the system effectively maintained soil moisture within the optimal range of 30 – 50%. The developed system achieved irrigation efficiency between 90 – 95% and reduced total water consumption by approximately 40% compared to conventional methods. The results showed that integrating soil moisture sensors within an IoT-based control framework can significantly enhance water efficiency. ]]>
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