Artificial Intelligence (AI) approach for the quantification of C-phycocyanin in Spirulina platensis: Hybrid stacking-ensemble model based on machine learning and deep learning

Artificial Intelligence (AI) approach for the quantification of C-phycocyanin in Spirulina platensis: Hybrid stacking-ensemble model based on machine learning and deep learning

The rising demand for natural pigments in nutraceuticals, pharmaceuticals, and cosmetics has highlighted the need for efficient, non-destructive methods to predict C-phycocyanin (CPC) concentrations in Spirulina platensis. Conventional extraction and quantification methods are labour-intensive, envi...

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Bibliographic Details
Main Authors: Jun Wei Roy Chong, Kuan Shiong Khoo, Huong-Yong Ting, Iwamoto Koji, Zengling Ma, Pau Loke Show
Format: Article
Language:English
Published: Elsevier 2025-12-01
Series:Ecological Informatics
Subjects:
Spirulina platensis
C-phycocyanin
Deep learning (DL)
Machine learning (ML)
Ensemble learning (EL)
Microalgae
Online Access:http://www.sciencedirect.com/science/article/pii/S1574954125001955
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