IoT-based Machine Learning Comparative Models of Stream Water Parameters Forecasting for Freshwater Lobster
Abdelmoneim A. Bakhit,
Nur Syahirah Mohd Sabli,
Mohd Faizal Jamlos
et al.
Abstract:Water quality parameters such as dissolved oxygen, pH, and mineral content are important factors for aquaculture. Predictive analytics can predict water conditions in aquaculture and significantly reduce the mortality probability of aquaculture products. This paper applied stream predictive analytics to the freshwater lobster farming dataset where its real-time data supplied by End Node Unit (ENU) which integrated with dissolved oxygen (DO), potential hydrogen (pH), electrical conductivity (EC), and total diss… Show more
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