Article

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

2024-12-01

Abstract excerpt

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 negative impact on aquaculture by generating disease outbreaks, oxygen depletion, nutrient imbalances, chemical pollut...

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Literature Corpus work: 0c6cdb6c-2d90-56b2-b8da-02668feb2cfb
DOI: 10.1007/s10499-024-01574-5

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