Design and Implementation of an AIoT-Oriented Aquaponics System: Integrated Application of Environmental Sensing and Remote Control

Chin-Ang Li; Wei-Chih Hsu

doi:10.46604/ijeti.2026.16130

Authors

Chin-Ang Li Aero-Electronic Engineering, Air Force Institute of Technology/ Department of Industrial Engineering, National Kaohsiung University of Science and Technology, Kaohsiung, Taiwan, ROC
Wei-Chih Hsu Department of Computer and Communication Engineering, National Kaohsiung University of Science and Technology, Kaohsiung, Taiwan, ROC

DOI:

https://doi.org/10.46604/ijeti.2026.16130

Keywords:

smart agriculture, artificial intelligence of things (AIoT), expert system, aquaponics

Abstract

Limited arable land, climate variability, and workforce aging challenge experience-driven agricultural management, reducing system stability and scalability. The absence of real-time monitoring, standardized decision mechanisms, and cross-site replicability further constrains the deployment of smart agriculture systems. To address these challenges, this study proposes an intelligent management architecture integrating artificial intelligence of things (AIoT) with a rule-based expert system, using aquaponics as a validation testbed. The layered architecture links endpoint sensing, edge processing, cloud-based knowledge governance, and user interfaces to form a closed-loop mechanism connecting sensing, inference, and actuation. A desktop-scale prototype is implemented to evaluate operational feasibility. Results indicate that the system achieves response times of approximately 2–5 seconds, consistent rule-based decisions, and stable multi-day operation, as evidenced by event logs and repeated rule-trigger observations. These findings demonstrate the feasibility of AIoT-enabled intelligent aquaponics management in practical deployment environments.

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