<![CDATA[The development of Internet of Things (IoT) technology has encouraged the implementation of precision agriculture through plant monitoring and irrigation automation systems. This study aims to design and implement an ESP32 microcontroller-based automatic plant irrigation system integrated with the Blynk application for remote monitoring and control. The system uses a soil moisture sensor as the main parameter for irrigation decision making, as well as temperature and humidity sensors as supporting parameters to represent environmental conditions. The research method used is the Prototype model, which includes requirements gathering, design, prototype development, evaluation, design refinement, and coding. The implementation results show that the system is capable of reading sensor data in real-time, displaying information on the LCD and application, and activating the water pump via a relay based on the soil moisture threshold value. Testing shows that the pump is active when soil moisture is below 40% RH and inactive when it reaches ≥60% RH, and the system successfully connects to the WiFi network and application server with an average initialization time of 3–5 seconds. Overall, the system works stably, responsively, and effectively maintains soil moisture within the optimal range, thereby improving water use efficiency and facilitating continuous monitoring of plant conditions.]]>
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