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Benefits of machine learning and sampling frequency on phytoplankton bloom forecasts in coastal areas

Jonathan Derot, Hiroshi Yajima, François G. Schmitt

2020Ecological Informatics32 citationsDOIOpen Access PDF

Topics & Concepts

PhytoplanktonAlgal bloomSampling (signal processing)Environmental scienceProxy (statistics)BloomEcosystemRandom forestComputer scienceNutrientOceanographyEcologyMachine learningBiologyGeologyTelecommunicationsDetectorMarine and coastal ecosystemsHydrological Forecasting Using AIWater Quality and Pollution Assessment
Benefits of machine learning and sampling frequency on phytoplankton bloom forecasts in coastal areas | Litcius