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Research Article Open access CC BY 4.0

Automated Fish Feeder Using Scheduler Mobile Application

Varry Alampayan Morial

Advances in Research · pp. 1–16 · Published 29 Jan 2024

10.9734/air/2024/v25i21028

Abstract

Today's fish feeder technology is a device dedicated to reducing labor costs and creating a better feed dispensing system in local fish farming productions. In this study, a newly developed automated fish feeder using a mobile scheduler application is designed and implemented specifically for Milkfish (Chanos Chanos) production. The development consists of four phases; online research, system design, purchase of materials, and construction. Two types of testing were conducted to evaluate this technology, including a functionality test and a technology acceptance test. The functionality test of the technology was tested using experimental analysis, which uses simulation to test the functionality of the developed system. Seven (7) trials tested the automated fish feeder using the mobile scheduler application for seven days. The study shows that this device was consistent in dispensing 0.43 Kilograms of feeds for one feeding schedule and 0.86 Kg for two feeding schedules, based on the total kilograms put in the system. There were ten respondents that participated in the technology acceptance test. From this test, the mean score values for all items such as availability, aesthetics, and performance were found to be more than 3.7 (using a 5-point Likert scale), which means that the automated fish feeder using the mobile scheduler application is very acceptable according to the technology acceptance test. The developed automated fish feeder using the mobile scheduler application will help the farmers remotely feed fish without hassle and optimize the quantity of feeds for the milkfish.

Wifi GSM smartphone milkfish fishpond

Cited by 2

Automatic Pellet Dispenser with Water Quality and Oxygenation Monitoring using Hybrid Rule-Based Scheduling and Threshold Control Algorithm

Chris Jericho F. Cabading, Christian B. Ildefonso, Jose A. Arca Jr. · American Journal of Agricultural Science, Engineering and Technology · 2026

A Systematic Survey of Optimized Automatic Fish Feeding System Using IoT

R. S. Malladi, Renu Sree Mallavarapu, Chandra Shekhar Madala · Software and Compilers for Embedded Systems · 2024

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