Development of aquarium fish feeder with IOT-based monitoring control system/

Calabia, Sheidel T.

Development of aquarium fish feeder with IOT-based monitoring control system/ Sheidel T. Calabia, Hazel B. Francia, John Paul P. Imperio, Almer F. Infeliz, Judy Ann L. Lazarte, and Robelyn Joyce S. Sumilang .-- - Manila: Technological University of the Philippines, 2024. - xi, 143pages: 29cm. +1 CD-ROM (4 3/4in.)

Thesis (undergraduate)

College of Industrial Technology .--

Includes bibliography:

This project introduces an IoT-based Aquarium Fish Feeder designed to enhance
ornamental Oscar fish care through features like Fish Monitoring, a programmable Timer
for food dispensing, a Water Acidity Sensor, and a Fish compatibility web application’
button. The associated "Aquafeed" web application, created using HTML, CSS,
JavaScript, and Firebase, streamlines control via web-based platforms. The camera
improves the monitoring of both the aquarium environment and the fish by delivering
clear visuals and an accurate range of the pH value for water acidity levels and successful
web application (Aquafeed) functionalities. Overall evaluation indicates outstanding
performance, with a mean of 4.71, describing highly acceptable functionality,
workability, durability, economy, and aesthetics. The prototype effectively meets design
goals, providing aquarium owners with a cost-effective, user-friendly solution. The
automatic fish feeders are significant, as they lack in-depth exploration of ornamental
fish species' unique requirements and behaviors. The integration of a water acidity sensor
is often overlooked in existing research. Additionally, there is a lack of specific quantity
control in the dispensing mechanism of automatic fish feeders. Current studies focus on
overall feeder functionalities, neglecting the precision and customization needed for
ornamental fish diets. The lack of research on determining and controlling the specific
quantity of pellets or food dispensed hinders the development of a more effective feeding
system.


Internet of things

BTH QA 76.9 / C35 2024



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