Monitoring Knowledge and Water Purifying Unmanned Aquatic Boat for Sustainable Fish Farming

Abstract

The increasing demand for sustainable aquaculture has highlighted critical challenges in maintaining water quality and managing surface debris in fish ponds.The aquaculture industry has raised significant challenges in maintaining water quality in fish ponds and managing surface debris. Maintaining optimal water quality and keeping pond surfaces clean creates a favorable environment for fish farming, which is crucial for fish growth to reducing stress label and disease on the aquaculture.Traditional manual methods of water quality monitoring and pond cleaning are labor-intensive and inefficient. With the increasing adoption of automation and AI-powered technologies, we are aimed development of an autonomous boat designed to optimize fish farm management. The boat is equipped with sensors to monitor important water quality parameters and a garbage collection system to ensure clean pond surfaces, contributing to a healthier fish farming environment. The primary objective is to monitor water quality using sensors and analyze the data with machine learning for accurate predictions and automatically collects debris using a camera-based detection process and operates sustainably with solar energy. A userfriendly interface ensures ease of use, making it ideal for remote areas.The integration of water quality sensors, a garbage collection system, and solar-powered energy makes the boat a valuable tool for fish farmers seeking to optimize their operations.The design and implementation of this autonomous boat aims to make fish farming more sustainable and productive by reducing manual labor and operational costs but also supports the long-term sustainability of fish farming practices and increasing precision in pond maintenance.