Automated Cultivation System for Microalgae: Growth Factors and Control

Jiun Gia Khor, Hooi Ren Lim, Wen Yi Chia, Kit Wayne Chew*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

9 Citations (Scopus)

Abstract

Background: Microalgae have been a hot research topic due to their various biorefin-ery 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 ap-plied. Conclusion: This perspective provides insights into the implementation of an automated micro-algae cultivation system that improves productivity, effectiveness, and efficiency.

Original languageEnglish
Pages (from-to)776-779
Number of pages4
JournalCurrent Nutrition and Food Science
Volume18
Issue number9
DOIs
Publication statusPublished - Nov 2022
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2022 Bentham Science Publishers.

ASJC Scopus Subject Areas

  • Food Science
  • Nutrition and Dietetics
  • Public Health, Environmental and Occupational Health

Keywords

  • Artificial Intelligence (AI)
  • growth parameters
  • Internet of Things (IoT)
  • light intensity
  • nutrients
  • pH
  • salinity
  • tem-perature

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