Prediction of algal blooms via data-driven machine learning models: an evaluation using data from a well-monitored mesotrophic lake

HIGHLIGHTS

• who: Shuqi Lin and colleagues from the Laboratory and Limnology Department, Uppsala University, Uppsala, Sweden, Universitu00e9 Genu00e8ve, Geneva, Switzerland have published the research: Prediction of algal blooms via data-driven machine learning models: an evaluation using data from a well-monitored mesotrophic lake, in the Journal: (JOURNAL) of 19/09/2022
• what: While this approach has achieved promising results, it is difficult to apply it to phytoplankton dynamics due to numerous nonlinear interactions within the biogeochemical cycles and the difficulty in defining a measurable processes or mass balances that can be used as a physical . . .
  

   

  

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