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Chlorophyll soft-sensor based on machine learning models for algal bloom predictions - Scientific Reports

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Chlorophyll soft-sensor based on machine learning models for algal bloom predictions - Scientific Reports

Harmful algal blooms (HABs) are a growing concern to public health and aquatic ecosystems. Long-term water monitoring conducted by hand poses several limitations to the proper implementation of water safety plans. This work combines automatic high-frequency monitoring (AFHM) systems with machine learning (ML) techniques to build a data-driven chlorophyll-a (Chl-a) soft-sensor.

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Chlorophyll soft-sensor based on machine learning models for algal bloom predictions - Scientific Reports

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Chlorophyll soft-sensor based on machine learning models for algal bloom predictions - Scientific Reports

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