Machine learning using climatic pattern data may help predict harmful algal blooms earlier

Harmful algal blooms (HABs) are phytoplankton colonies that may harm aquatic ecosystem and human health. The fish die-offs, shellfish closures and reluctance among consumers to eat seafood often caused by these blooms costs the U.S. an average of $4.6 billion annually.


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Source: Phys.org