Enhanced LSTM-based AI model for accurate dissolved oxygen prediction in aquaculture systems
Accurate monitoring and prediction of dissolved oxygen (DO) levels in aquaculture systems are crucial for maintaining optimal water quality and ensuring fish health. This study presents an enhanced Long Short-Term Memory (LSTM)-based model for DO prediction, leveraging historical data on DO levels,...
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| Hauptverfasser: | , , , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Elsevier
2025-12-01
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| Schriftenreihe: | Smart Agricultural Technology |
| Schlagworte: | |
| Online-Zugang: | http://www.sciencedirect.com/science/article/pii/S2772375525003727 |
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