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Artificial intelligence to monitor water quality more effectively

May 06 2021 Artificial intelligence that enhances remote monitoring of water bodies – highlighting quality shifts due to climate change or pollution – has been developed by researchers at the University of Stirling. A new algorithm – known as the ‘meta-learning’ method – analyses data directly from satellite sensors, making it easier for coastal zone, environmental and industry managers to monitor issues such as harmful algal blooms (HABs) and possible tox...
Daniel Odermatt Kerstin Stelzer Oberon Berlage Mortimer Werther Harald Krawczyk Stefangh Simis

Stirling experts develop artificial intelligence to monitor water quality more effectively

Artificial intelligence that enhances remote monitoring of water bodies – highlighting quality shifts due to climate change or pollution – has been developed by researchers at the University of Stirling. A new algorithm – known as the ‘meta-learning’ method – analyses data directly from satellite sensors, making it easier for coastal zone, environmental and industry managers to monitor issues such as harmful algal blooms (HABs) and possible toxicity in shellfish and finfish. Environ...
Daniel Odermatt Kerstin Stelzer Oberon Berlage Mortimer Werther Harald Krawczyk Stefangh Simis
Source: stir.ac.uk

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