Exploring the critical factors of algal biomass and lipid production for renewable fuel production by machine learning
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Finding a suitable medium among cost and energy limitations and the data required to size the sensor network is a hurdle.
“Finding a suitable medium among cost and energy limitations and the data required to size the sensor network is also a hurdle [56,34,48,57].”
From Reinvigorating algal cultivation for biomass production with digital twin technology - a smart sustainable infrastructure (2024) · cites this paper as [57]
Coşgun et al. (2021) analyzed a dataset of 4670 instances from 102 published studies using ML and identified 11 combinations linked to high biomass productivity and 13 for high lipid content.
“Coşgun et al. (2021) [49] analyzed a dataset of 4670 instances from 102 published studies, using ML to evaluate the impact of cultivation and processing parameters on microalgal biomass and lipid production. By applying decision trees and association rule mining, they identified 11 combinations linked to high biomass productivity and 13 for high lipid content, demonstrating that ML can effectively”
From Harnessing Artificial Intelligence to Revolutionize Microalgae Biotechnology: Unlocking Sustainable Solutions for High-Value Compounds and Carbon Neutrality (2025) · cites this paper as [49]
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- Authors
- Coşgun, A., Günay, M. E., & Yıldırım, R.
- Affiliations
- Istanbul Bilgi University (TR)
- Boğaziçi University (TR)
- Corresponding author
- Günay, M. Erdem
- Yıldırım, Ramazan
- Venue
- Renewable Energy
- Publisher
- Elsevier BV
- Published
- 2021-01
- Volume
- 163
- Pages
- 1299-1317
- ISSN
- 0960-1481 (ISSN-L)
- OpenAlex
- W3084966153
- Cited by
- 110
- References
- 172
- Citations by year
- 2026: 10 · 2025: 26 · 2024: 18 · 2023: 22 · 2022: 23 · 2021: 10 · 2020: 1
- FWCI
- 2.77
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Renewable Energy (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Topics
- Physical Sciences › Energy › Renewable Energy, Sustainability and the Environment › Algal biology and biofuel production
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Microbial Metabolic Engineering and Bioproduction
- Life Sciences › Agricultural and Biological Sciences › Aquatic Science › Aquaculture Nutrition and Growth
- Keywords
- microalgae, algal biomass productivity, lipid content, biofuel production, growth conditions, CO2 concentration, light intensity, nutrient concentration, reactor types, cell disruption, decision tree, association rule mining, industrial scale-up
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