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