| Title |
Automation and artificial intelligence in filamentous fungi-based bioprocesses: A review |
| ID_Doc |
7541 |
| Authors |
Wainaina, S; Taherzadeh, MJ |
| Title |
Automation and artificial intelligence in filamentous fungi-based bioprocesses: A review |
| Year |
2023 |
| Published |
|
| DOI |
10.1016/j.biortech.2022.128421 |
| Abstract |
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. |
| Author Keywords |
Filamentous fungi; Machine learning; Smart sensors; Robotic systems; Process control |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Science Citation Index Expanded (SCI-EXPANDED) |
| EID |
WOS:000902073900003 |
| WoS Category |
Agricultural Engineering; Biotechnology & Applied Microbiology; Energy & Fuels |
| Research Area |
Agriculture; Biotechnology & Applied Microbiology; Energy & Fuels |
| PDF |
https://doi.org/10.1016/j.biortech.2022.128421
|