Prediction of microalgae growth using Machine Learning models
Recently, unicellular microalgae have attracted considerable interest due to their ability to utilize CO2 in the photosynthetic process and produce various valuable compounds such as biofuels, bioplastics, pigments, and vitamins. Microalgae are a promising source for a sustainable replacement for fossil fuels in transportation and power generation. Their efficient use solar energy utilization and capacity