This study presents a system designed to optimize the cultivation of tomato plants (Solanum lycopersicum), specifically the Diamante Max F1 variety, in aeroponic environments. By employing YOLOv11 for real-time detection of growth stages, the system utilizes fuzzy logic to adjust key environmental factors, including temperature, humidity, pH, and electrical conductivity (EC), for accurate nutrient management. Integrated with the POMODAERO mobile application, it enables remote monitoring, data visualization, historical record storage, and task reminders. Evaluated according to ISO 25010 standards, the system achieved a score of 4.61, reflecting high reliability and efficiency. This innovation reduces manual labor, improves resource management, and supports sustainable precision agriculture, particularly in resource-limited settings such as the Philippines.