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Automation and artificial intelligence in filamentous fungi-based bioprocesses: A review
University of Borås, Faculty of Textiles, Engineering and Business. (Swedish Centre for Resource Recovery)ORCID iD: 0000-0003-4709-5126
University of Borås, Faculty of Textiles, Engineering and Business. (Swedish Centre for Resource Recovery)ORCID iD: 0000-0003-4887-2433
2023 (English)In: Bioresource Technology, ISSN 0960-8524, E-ISSN 1873-2976, Vol. 369, p. 128421-128421, article id 128421Article, review/survey (Refereed) Published
Sustainable development
According to the author(s), the content of this publication falls within the area of sustainable development.
Abstract [en]

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.

Place, publisher, year, edition, pages
2023. Vol. 369, p. 128421-128421, article id 128421
Keywords [en]
Filamentous fungi, Machine learning, Smart sensors, Robotic systems, Process control
National Category
Other Industrial Biotechnology
Research subject
Resource Recovery
Identifiers
URN: urn:nbn:se:hb:diva-29346DOI: 10.1016/j.biortech.2022.128421ISI: 000902073900003Scopus ID: 2-s2.0-85143508672OAI: oai:DiVA.org:hb-29346DiVA, id: diva2:1729785
Available from: 2023-01-23 Created: 2023-01-23 Last updated: 2024-02-01Bibliographically approved

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Wainaina, StevenTaherzadeh, Mohammad J

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