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Operational Monitoring Stability Framework for IoT-Enabled Aeroponic Farming Systems
Subject area: Science,Engineering and Technology · Area of research: Engineering Management
DOI: https://doi.org/10.64388/IREV9I11-1718301
Abstract
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.
Keywords
Decision Support Systems, Aeroponics, Smart Agriculture, Internet of Things, Engineering Management, Operational Monitoring Stability.
How to cite this paper
@article{1718301,
author = {Michael A. Castro, Herbert O. Tulan, Rennel M. Mallari, Rechelle Ann M. Gundran, Lorinda E. Pascual},
title = {Operational Monitoring Stability Framework for IoT-Enabled Aeroponic Farming Systems},
journal = {Iconic Research And Engineering Journals},
year = {2026},
volume = {9},
number = {11},
pages = {4155-4162},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1718301.pdf},
abstract = {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.},
keywords = {Decision Support Systems, Aeroponics, Smart Agriculture, Internet of Things, Engineering Management, Operational Monitoring Stability.},
month = {May},
doi = {https://doi.org/10.64388/IREV9I11-1718301}
}