IOT- based automated feeding and monitoring system for fishpond/ Armando Embile, Daven Christian O. Estopia, Kate Clarence N. Forbes, Audrey Rose Abbbey C. Magtarayo, and Mark Wilson J. Suarez.

Water quality monitoring is crucial part of managing fishponds. To ensure that fish are healthy and thriving, owners and managers must regularly test the water and use sensors to quickly detect and address any issues. The Internet of Things (loT) is being used in many fields to collect and analyze data remotely. The study, IOT-Based Automated Feeding and Monitoring System for Fishpond study aims to develop a mobile application that will help fishpond owners monitor water quality and control the feeder automatically. The system includes a turbidity sensor to measure water clarity, a temperature sensor to measure temperature, a dissolved oxygen sensor to measure the amount of oxygen in the water, and a pH level sensor to measure the acidity of the water. The mobile application displays all sensor data and allows users to manipulate the feeding schedule. The system was created using an ESP32 microcontroller and coded in Arduino IDE. The mobile app was developed using Android Studio. Testing showed that the application software can be installed on Android devices running Android 8.0 to 12.0 without compatibility issues, and all data was processed accurately and quickly. The system was evaluated by 20 evaluators, including fishpond owners, students, and IT experts, using the using ISO 25010 software quality model and was rated with a an overall mean of 4.55 with a descriptive rating of "Excellent." This signifies that the system is useful in terms of fishpond management. - Author's abstract