"Investigating the influence of measurement uncertainty on chlorophyll-a ..."

I. Busari et al. (2024)

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DOI: 10.1016/J.ECOINF.2024.102735

access: open

type: Journal Article

metadata version: 2024-12-09

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I. Busari, D. Sahoo, K. P. Sudheer, R. D. Harmel, C. Privette, Mark Schlautman, C. Sawyer:
Investigating the influence of measurement uncertainty on chlorophyll-a predictions as an indicator of harmful algal blooms in machine learning models. Ecol. Informatics 82: 102735 (2024)

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