Angelarium: Integrating IoT and AI for Optimal Angel Fish Habitat Management

The popularity of aquarium hobbyism has spurred advancements in technology aimed at enhancing the care and management of aquatic ecosystems. This study introduces Angelarium, an innovative system integrating the Internet of Things (IoT) and artificial intelligence (AI) technologies to optimize the habitat conditions of Angel Fish (Pterophyllum scalare) in home aquariums. By leveraging IoT sensors for realtime monitoring of water quality parameters and AI algorithms for automated feeding and anomaly detection, Angelarium aims to streamline maintenance tasks and ensure optimal conditions for fish health. The study focuses on the development, implementation, and evaluation of Angelarium, including the creation of a user-friendly mobile application for remote aquarium management. Through comprehensive testing and user feedback, the effectiveness and usability of Angelarium are assessed, highlighting its potential to revolutionize ornamental fishkeeping practices. This research contributes to the intersection of IoT, AI, and aquatic biology, fostering sustainable and technologically advanced solutions for aquarium enthusiasts.

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Publication Details

Published
2024-08-16
DOI
https://doi.org/10.1109/icait62580.2024.10808126
Primary Topic
Water Quality Monitoring Technologies
Type
article
Field-Weighted Citation Impact
0.00
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article

Angelarium: Integrating IoT and AI for Optimal Angel Fish Habitat Management

William P. Rey, Kieth Wilhelm Jan D. Rey, Althea Jodie B. Labayan
Water Quality Monitoring Technologies
article

Angelarium: Integrating IoT and AI for Optimal Angel Fish Habitat Management

William P. Rey, Kieth Wilhelm Jan D. Rey, Althea Jodie B. Labayan
article en

Abstract

The popularity of aquarium hobbyism has spurred advancements in technology aimed at enhancing the care and management of aquatic ecosystems. This study introduces Angelarium, an innovative system integrating the Internet of Things (IoT) and artificial intelligence (AI) technologies to optimize the habitat conditions of Angel Fish (Pterophyllum scalare) in home aquariums. By leveraging IoT sensors for realtime monitoring of water quality parameters and AI algorithms for automated feeding and anomaly detection, Angelarium aims to streamline maintenance tasks and ensure optimal conditions for fish health. The study focuses on the development, implementation, and evaluation of Angelarium, including the creation of a user-friendly mobile application for remote aquarium management. Through comprehensive testing and user feedback, the effectiveness and usability of Angelarium are assessed, highlighting its potential to revolutionize ornamental fishkeeping practices. This research contributes to the intersection of IoT, AI, and aquatic biology, fostering sustainable and technologically advanced solutions for aquarium enthusiasts.

Mapúa University (PH)
Openalex Percentile: Top 76%
Water Quality Monitoring Technologies
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