Operational Monitoring Stability Framework for IoT-Enabled Aeroponic Farming Systems

The integration of Internet of Things (IoT) technologies within controlled-environment agriculture has improved environmental monitoring, automation efficiency. This study evaluated the operational reliability, environmental responsiveness, and monitoring stability of an IoT-enabled aeroponic farming system utilizing Engineering Management principles. A developmental-descriptive research design was employed involving subsystem validation, operational testing, and comparative operational analysis. The developed system integrated environmental sensing technologies, automated nutrient circulation, pH regulation mechanisms, RTC-controlled lighting systems, and IoT-based monitoring infrastructures. Results demonstrated high operational reliability, with 100% operational accuracy achieved by the nutrient circulation, pH regulation, and temperature-responsive exhaust ventilation systems, while the lighting automation subsystem achieved 96.67% operational accuracy. Environmental monitoring results also indicated stable operational conditions throughout repeated testing procedures. The study introduces the Operational Monitoring Stability (OMS) framework as an Engineering Management-oriented operational model emphasizing monitoring reliability, automation responsiveness, environmental stability, and operational coordination within intelligent agricultural systems. Findings suggest that IoT-enabled aeroponic infrastructures can support operational consistency, environmental regulation, sustainability-oriented management, and decision-support capability within smart agriculture environments.