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Application of Artificial Intelligence and Image Processing for the Cultivation of Chlorella sp. Using Tubular Photobioreactors

Tummawai, Thananop, Rohitatisha Srinophakun, Thongchai, Padungthon, Surapol, Sukpancharoen, Somboon·2024·ACS Omega
DOI 10.1021/acsomega.4c05971PMC PMC11579771
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  • Tummawai et al. (2024) found constant 24 h lighting improved biomass productivity by 7.19% compared to a 12 h cycle in a closed tubular photobioreactor.

    “A constant 24 h lighting strategy improved biomass productivity by 7.19% compared to a 12 h cycle, demonstrating the critical role of light optimization in high-efficiency microalgae systems.”

    From Harnessing Artificial Intelligence to Revolutionize Microalgae Biotechnology: Unlocking Sustainable Solutions for High-Value Compounds and Carbon Neutrality (2025) · cites this paper as [29]

    In Results and Discussion, under “Comparison of Light Exposure Durations,” the paper reports greater biomass accumulation under 24 h lighting in a tubular photobioreactor. But 7.19% is the increase within the 24 h condition; the 12 h condition increased by 2.09%. The paper does not report a 7.19% improvement relative to the 12 h cycle. (LLM, conf=0.90)

    Experimental — accuracy not yet measured

  • XGBoost model achieved superior accuracy in growth prediction with R2 0.9997, MSE 0.0063, RMSE 0.0792 compared to random forest MSE 0.0604, RMSE 0.2458.

    “The eXtreme Gradient Boosting (XGBoost) model demonstrated superior accuracy in growth prediction, achieving an R2 of 0.9997 and significantly lower error metrics (MSE: 0.0063, RMSE: 0.0792) compared to the random forest model (MSE: 0.0604, RMSE: 0.2458), indicating a more precise fit to the training data.”

    From Harnessing Artificial Intelligence to Revolutionize Microalgae Biotechnology: Unlocking Sustainable Solutions for High-Value Compounds and Carbon Neutrality (2025) · cites this paper as [29]

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Authors
Tummawai, T., Rohitatisha Srinophakun, T., Padungthon, S., & Sukpancharoen, S.
Affiliations
  • Department of Mechanical Engineering, Faculty of Engineering, Khon Kaen University, Khon Kaen 40002, Thailand
  • Department of Chemical Engineering, Faculty of Engineering, Kasetsart University, Bangkok 10900, Thailand
  • Department of Environmental Engineering, Faculty of Engineering, Khon Kaen University, Khon Kaen 40002, Thailand
  • Department of Agricultural Engineering, Faculty of Engineering, Khon Kaen University, Khon Kaen 40002, Thailand
ORCID
Sukpancharoen, Somboon
Venue
ACS Omega
Publisher
American Chemical Society (ACS)
Published
2024-11-07
Volume
9
Issue
46
Pages
46017-46029
ISSN
2470-1343
DOI
10.1021/acsomega.4c05971
PMC
PMC11579771
Cited by
56
References
2
Language
en
Licence
creativecommons.org/licenses/by-nc-nd/4.0/ (vor)
Funders
Khon Kaen University

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