This research investigates the integration of IoT technology in hydroponics to advance sustainable agriculture through real-time monitoring and automated control. The IoT-enabled hydroponic system utilizes sensor networks to gather critical environmental data, including temperature, humidity, pH balance, and nutrient levels. These data are analyzed using advanced algorithms to support informed decision-making. Farmers can remotely access an intuitive interface to precisely control the hydroponic environment, optimizing fertilizer application, adjusting pH levels, and fine-tuning temperature settings in response to environmental changes. Automation enhances efficiency by enabling autonomous actions based on predefined parameters, such as automated nutrient dosing adjustments or corrective actions to mitigate adverse conditions. The incorporation of IoT technologies in hydroponics holds significant promise for advancing precision agriculture. By delivering real-time insights and automated control, the system empowers farmers to adopt sustainable and efficient crop cultivation practices in a technology-driven era.