Development of IoT-based Fish Tank Monitoring System
Maria Gemel B. Palconit, Ronnie Concepcion, Rogelio Ruzcko Tobias, Jonnel Alejandrino, Vincent Jan D. Almero, Argel A. Bandala, Ryan Rhay P. Vicerra, Edwin Sybingco, Elmer P. Dadios
Abstract
The aquaculture management system will be significantly improved with the adoption of recent technological advances. This study introduces the development of a fish tank monitoring system using the Internet of Things (IoT) modules with four subsystems—water quality monitoring, video surveillance of the fish tank, on-demand feeding machine, and Cloud data storage. During the evaluation, the calibrated sensors for water quality monitoring were accurate for the monitoring purpose. In contrast, the simultaneous transmission of the sensors’ gathered data from the IoT modules to the Cloud storage was 100% successful from 0.25 Mbps to 10 Mbps upload speed. The automated video surveillance was able to record 98.45% of the scheduled time.