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Development of a Prediction Method of Cell Density in Autotrophic/Heterotrophic Microorganism Mixtures by Machine Learning Using Absorbance Spectrum Data

Microflora is actively used to produce value-added materials in industry, and each cell density should be controlled for stable microflora use. In this study, a simple system evaluating the cell density was constructed with artificial intelligence (AI) using the absorbance spectra data of microflora...

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Detalles Bibliográficos
Autores principales:	Nakanishi, Akihito, Fukunishi, Hiroaki, Matsumoto, Riri, Eguchi, Fumihito
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2022
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9624369/ https://www.ncbi.nlm.nih.gov/pubmed/36278558 http://dx.doi.org/10.3390/biotech11040046

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