A review of recent machine learning advances for forecasting harmful Algal Blooms and shellfish contamination
Harmful algal blooms (HABs) are among the most severe ecological marine problems worldwide. Under favorable climate and oceanographic conditions, toxin-producing microalgae species may proliferate, reach increasingly high cell concentrations in seawater, accumulate in shellfish, and threaten the hea...
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| Outros Autores: | , , , |
| Formato: | article |
| Idioma: | eng |
| Publicado em: |
2021
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| Assuntos: | |
| Texto completo: | http://hdl.handle.net/10400.1/15417 |
| País: | Portugal |
| Oai: | oai:sapientia.ualg.pt:10400.1/15417 |