IoT-Based Water Quality Monitoring and Automated Fish Feeder: Enhancing Aquaculture Productivity

Abstract

Aquafarming is a rising industry that encourages developments and innovations in the technologies to be applied. As a response, the researchers decided to conduct this study to devise an IoT-based system that monitors water quality in fish ponds or fish pens and automatically feeds fishes. The system will be an aid in aquafarming which will benefit the following: for aquafarmers to have efficient aquafarming technology; for researchers to have a basis for future researches; for consumers to have healthy fish; and for the environment to be fit for fish farming. Literature and studies related to aquafarming, IoT, automatic feeder, and water quality monitoring were considered to be the basis in devising the methods and materials followed and used. The conceptual and methodological frameworks based on the set objectives are designed and presented. Following the experimental type of research design, the study's planning and methods were defined. The whole structure of the device was divided into its electronics design, the power source design, the software design involving the programs to be developed, and automatic feeder designs. Several trials for the testing were conducted to ensure the reliability and functionality of the device. The results discussed showed favorable results. The study's final output is an aid in aquafarming that has an automated feeder and water quality monitoring system based on IoT.