Real-Time Algal Monitoring Using Novel Machine Learning Approaches
Monitoring algal growth rates and estimating microalgae concentration in photobioreactor systems are critical for optimizing production efficiency. Traditional methods—such as microscopy, fluorescence, flow cytometry, spectroscopy, and macroscopic approaches—while accurate, are often costly, time-co...
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| Hlavní autoři: | , , , , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
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MDPI AG
2025-06-01
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| Edice: | Big Data and Cognitive Computing |
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| On-line přístup: | https://www.mdpi.com/2504-2289/9/6/153 |
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