Aquaculture 4.0: hybrid neural network multivariate water quality parameters forecasting model

Abstract This study examined the efficiency of hybrid deep neural network and multivariate water quality forecasting model in aquaculture ecosystem. Accurate forecasting of critical water quality parameters can allow for timely identification of possible problem areas and enable decision-makers to t...

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Bibliographic Details
Main Authors: Elias Eze, Sam Kirby, John Attridge, Tahmina Ajmal
Format: Article
Language:English
Published: Nature Portfolio 2023-09-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-023-41602-7