Real Time Water Quality Based Predictive Alert System for Aquaculture

Abstract

Aquaculture plays a crucial role in addressing the growing worldwide need for seafood. Nevertheless, maintaining ideal water conditions is vital for the well-being and efficiency of aquatic organisms. This initiative presents a holistic remedy for aquaculture activities: the creation of a real time water quality based predictive alert system. This system places specific emphasis on monitoring five crucial parameters: temperature, pH, and dissolved oxygen (DO), Nitrate, Turbidity. It utilizes strategically positioned sensors to provide real-time data. Through advanced analysis and deep learning models, it predicts potential issues, send alerts to the aquatic manager enabling them to proactively optimize conditions, improve aquatic health, and minimize economic losses