Digital Twin And Interactive AR For Smart Aquaponics Iot Systems: A Preliminary Study

Abstract

This study investigates how to adopt Digital Twin technology in Augmented Reality (AR) inside an IoT-based aquaponics system, not only to enhance real-time monitoring, visualization of data, and decision-making but also to establish control over the system. On the other hand, the aforementioned system includes an interactive AR interface visualizing data from IoT sensors in which users can experience real-time monitoring of important parameters in aquaponics, such as water level, water temperature, water pH, light intensity, surrounding temperature, and surrounding humidity. Feedback was collected via a structured survey from users through a structured survey to evaluate the usability and effectiveness of the system. Results indicate effective improvement of data visualization as well as decision-making, and enhancement for areas such as interface design and system interaction. Thus, it has been beneficial to the field by providing empirical insights into how Digital Twin and AR technologies can be applied to the management of aquaponics and recommendations for enhancing the system's usability and extending its adoption.