Machine learning optimization of environmental factors influencing biomass and nutritional composition in local algal species

Machine learning optimization of environmental factors influencing biomass and nutritional composition in local algal species

Algae are recognized for their potential in biofuel production due to their high biomass yield, protein and lipid. This study investigates the influence of pH, temperature, light intensity, light colour and CO2 concentration on biomass and biochemical composition in five algal genera (Chlorella, Bot...

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Bibliographic Details
Main Authors: Aisha Khan, Saleem Ullah, Rifat Ali, Mahwish Rehman, Said Moshawih, Khang Wen Goh, Long Chiau Ming, Lai Ti Gew
Format: Article
Language:English
Published: The Royal Society 2025-04-01
Series:Royal Society Open Science
Subjects:
algae
biodiesel production
sustainable energy
machine learning
clean fuel
green product
Online Access:https://royalsocietypublishing.org/doi/10.1098/rsos.241336
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