Design of Automated Fish Feeder Using IoT

Abstract

Abstract: The world's need for seafood is largely met by aquaculture, which calls for improvements in farming practises. In this paper, an Internet of Things (IoT)-powered Automatic Fish Feeder (AFF) system is presented. To collect data in real time, the AFF system makes use of a variety of sensors, such as those that measure ambient factors, fish activity, and water quality. Fish farmers are able to remotely monitor the conditions of the aquatic environment thanks to the processing and wireless transmission of this data by microcontrollers. Farmers may plan and modify feeding schedules, amounts, and feed mixes according to the individual requirements of the fish species using an easy-to-use mobile application. By analysing the gathered data, the system's clever algorithms optimise feeding schedules, guaranteeing that fish get the right nutrition while reducing feed waste. Moreover, by minimising overfeeding—which can result in water contamination and ecological imbalances—the AFF system fosters sustainability. This study shows how IoT technology may be successfully incorporated into aquaculture operations to improve production, save operating costs, and encourage environmental stewardship. The results of this study offer significant insights for the aquaculture sector, opening the door for the global adoption of IoT-based technologies to enhance fish farming methods