Attention-driven LSTM and GRU deep learning techniques for precise water quality prediction in smart aquaculture

Global food security, economic growth, and biodiversity preservation are impacted significantly by aquaculture. Water quality monitoring (WQM) and water quality prediction (WQP) are essential for profitable as well as sustainable aquaculture. Empirical techniques lead to erroneous WQP, which has a n...

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