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

HIGHLIGHTS

• who: Alberto Mozo from the Universidad Politu00e9cnica deAcademy of Sciences, Lodz, Poland have published the research: Chlorophyll soft-sensor based on machine learning models for algal bloom predictions, in the Journal: Scientific Reports Scientific Reports
• what: In accordance with the objectives of this study, the authors conducted a set of experiments to evaluate: (i) a ML-based soft-sensor regressor capable of inferring the variable Chl-a from a set of easy to measure variables (i.e., pH, water temperature, EC and system battery) and_(ii) a level 1 alarm system built on top of . . .
  

   

  

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