Enhanced Decision Support System for Automated Fish Feeder and Water Quality Detection with SMS Notification

Abstract

This study aimed to address the identified problems and issues encountered within the existing process of fish farming through the Enhanced Decision Support System for Automated Fish Feeder and Water Quality Detection with SMS Notification. The extent of compliance of the developed system to International Standard Organization 25010 Software Quality Standard was evaluated using survey questionnaires thru 5 points Likert Scale between Information Technology experts and Users. Research and Development (R&D), V-model and Data Gathering Procedures have been applied. Findings showed that the participants gave a Very Great Extent of compliance with ISO 25010. The developed system has the ability to feed the fishes based on the time set by the user. Water Quality parameter sensors have been used to detects water quality in real-time. The developed system has met the intended tasks to do like Feeding and Water Quality Monitoring. This concludes that the existing system can be enhanced by means of Technological Innovations. Deployment of the developed system will offer a convenient and efficient way of fish farming.