Abstract
Background: Microalgae have been a hot research topic due to their various biorefinery
applications, particularly microalgae as potential alternative nutraceuticals and supplements
have a large and rapidly growing market. However, commercial production is limited due to high
processing cost, low efficiency, and scale up of biomass production.
Objective: It is important to control the microalgae cultivation system with optimal parameters to
maximize biomass productivity. The growth factors, including pH, temperature, light intensity,
salinity, and nutrients, are discussed as these can significantly affect the cultivation. To monitor
and control these in real-time, an automated system incorporating advanced digital technologies
like sensors, controllers, artificial intelligence (AI), and the Internet of Things (IoT) could be applied.
Conclusion: This perspective provides insights into the implementation of an automated microalgae
cultivation system that improves productivity, effectiveness, and efficiency.
Keywords:
Artificial Intelligence (AI), growth parameters, Internet of Things (IoT), light intensity, nutrients, pH, salinity, temperature.
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