Application of Artificial Intelligence in microalgae culture: review

Ghaeni, Mansoreh; Apelo, Lito

Volume 15, Issue 4 (Winter 2024) 3 2024, 15(4): 49-57 | Back to browse issues page

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Ghaeni M, Apelo L. Application of Artificial Intelligence in microalgae culture: review. 3 2024; 15 (4) :49-57
URL: http://jmb.ahvaz.iau.ir/article-1-1065-en.html

Application of Artificial Intelligence in microalgae culture: review

Mansoreh Ghaeni

, Lito Apelo

Marine Science College, Ministry of Higher Education and Innovation, Oman

Abstract: (576 Views)

Microalgae has many applications; such as in biofuel production, carbon capture and utilization, and assorted microalgae production due to their high nutrient content, wastewater treatment, and bioremediation that make algae cultivation extremely popular in industries. Microalgae produce a variety of substances with high value-added potential such as health-promoting omega-3 fatty acids, carotenoids with antioxidant effects, pigments or polymeric storage substances. Therefore, they are an excellent sustainable source for the production of food, cosmetics, chemicals, pharmaceuticals and biofuels. Because of economic and ecological aspects, microalgae should be cultivated outdoors and on a large scale, using natural daylight as an energy source. The major challenge is that no robust and proven fully automated control system for the algae reactors has yet been established. This is mainly due to the lack of models that can control the algae growth and product formation in their cells. With the recent acceleration of AI researches, large and complex data from microalgae research can b e properly analyzed by combining the cutting_edge of both fields.The utilization of AI algorithms in microalgae cultivation, system optimization, and other aspects of the supply chain is also discussed. Artificial intelligence is helping set a new world record for producing algae as a reliable and economic source sustainable of biofuel and potentially, animal feed. The aim of this paper is introducing data-based algorithms – generated by machine learning methods – to control the cultivation of algae in order to develop an economical, ecological and robust algae production process on an industrial scale.

Keywords: algae, artificial intelligence, culture.

Full-Text [PDF 443 kb] (542 Downloads)

Type of Study: case report | Subject: Fisheries
Received: 2023/12/1 | Accepted: 2024/02/3 | Published: 2024/02/7