Machine learning for microalgae detection and utilization

HIGHLIGHTS

• who: Hongwei Ning from the Jagiellonian University, Poland have published the Article: Machine learning for microalgae detection and utilization, in the Journal: (JOURNAL)
• what: An additional advantage of the model was that it provided morphological information on the microalgal populations. The experiments showed that the effect of the support vector machine algorithm was better than the artificial neural_network algorithm, which could reach 98.63%. The experiments showed that the correctness of the model for the microalgae identification was improved by 8.59% over the original model, reaching 98.90%. The paper has tremendous implications for . . .
  

   

  

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