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Automation and artificial intelligence in filamentous fungi-based bioprocesses: A review

Journal

BIORESOURCE TECHNOLOGY
Volume 369, Issue -, Pages -

Publisher

ELSEVIER SCI LTD
DOI: 10.1016/j.biortech.2022.128421

Keywords

Filamentous fungi; Machine learning; Smart sensors; Robotic systems; Process control

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By utilizing the metabolic versatility of filamentous fungi, automation and artificial intelligence can be applied to fungi-based bio-processes aiming at achieving circular economy. This paper reviews the potentials of automation and artificial intelligence in fungi-based systems, highlighting the benefits of process flexibility, enhanced data reliability, and increased productivity. However, further investigation is needed in the use of these data-based technologies in the production of food from fungi.
By utilizing their powerful metabolic versatility, filamentous fungi can be utilized in bioprocesses aimed at achieving circular economy. With the current digital transformation within the biomanufacturing sector, the interest of automating fungi-based systems has intensified. The purpose of this paper was therefore to review the potentials connected to the use of automation and artificial intelligence in fungi-based systems. Automation is characterized by the substitution of manual tasks with mechanized tools. Artificial intelligence is, on the other hand, a domain within computer science that aims at designing tools and machines with the capacity to execute functions that would usually require human aptitude. Process flexibility, enhanced data reliability and increased productivity are some of the benefits of integrating automation and artificial intelligence in fungi-based bio-processes. One of the existing gaps that requires further investigation is the use of such data-based technologies in the production of food from fungi.

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