<![CDATA[This study discusses the design and development of an Internet of Things (IoT)-based water management system using Fuzzy Logic Control for backyard hydroponics. The system is designed to monitor and regulate the main parameters, namely nutrient solution pH, water flow rate, and water temperature, in order to maintain optimal plant growth conditions. A pH sensor, a water flow sensor, and a DS18B20 water temperature sensor are used as system inputs, while the ESP32 acts as the main controller that processes sensor data and executes fuzzy logic rules to determine control actions for the actuators. Water temperature control is implemented using a Peltier module combined with a waterblock as the heat transfer medium, while the BTS7960 driver is used to reverse the current direction through the Peltier module. By reversing the current direction, the hot side and cold side of the Peltier module can be interchanged, allowing the system to operate as both a water cooler and a water heater according to the required conditions. Sensor readings are displayed on the LCD, transmitted to the Blynk platform for real-time remote monitoring, and recorded using Google Form as a data logger. The test results indicate that the system is capable of monitoring water parameters in an integrated manner and providing control responses to changes in water flow rate and temperature according to the defined setpoints. Therefore, this system is expected to serve as a practical, adaptive, and efficient solution for automated backyard hydroponic water management]]>
