A Review of Recent Machine Learning Advances for Forecasting Harmful Algal Blooms and Shellfish Contamination

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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Bibliographic Details
Main Authors: Rafaela C. Cruz, Pedro Reis Costa, Susana Vinga, Ludwig Krippahl, Marta B. Lopes
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Journal of Marine Science and Engineering
Subjects:
marine biotoxins
shellfish production
harmful algal blooms
toxic phytoplankton
multivariate time series
time-series forecasting
Online Access:https://www.mdpi.com/2077-1312/9/3/283

Internet

https://www.mdpi.com/2077-1312/9/3/283

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