Automatic classification of fungal-fungal interactions using deep leaning models

Automatic classification of fungal-fungal interactions using deep leaning models

Fungi provide valuable solutions for diverse biotechnological applications, such as enzymes in the food industry, bioactive metabolites for healthcare, and biocontrol organisms in agriculture. Current workflows for identifying new biocontrol fungi often rely on subjective visual observations of stra...

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Bibliographic Details
Main Authors: Marjan Mansourvar, Jonathan Funk, Søren Dalsgård Petersen, Sajad Tavakoli, Jakob Blæsbjerg Hoof, David Llorente Corcoles, Sabrina M. Pittroff, Lars Jelsbak, Niels Bjerg Jensen, Ling Ding, Rasmus John Normand Frandsen
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:Computational and Structural Biotechnology Journal
Subjects:
Fungal growth
Deep learning
Machine learning
Computer vision
Automation
Biocontrol
Online Access:http://www.sciencedirect.com/science/article/pii/S2001037024004008
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