Classification of multicategory edible fungi based on the infrared spectra of caps and stalks

Title
Classification of multicategory edible fungi based on the infrared spectra of caps and stalks
Authors
Keywords
Fungi, Machine learning algorithms, Infrared spectroscopy, Fungal classification, Food, Support vector machines, Algorithms, Feedforward neural networks
Journal
PLoS One
Volume 15, Issue 8, Pages e0238149
Publisher
Public Library of Science (PLoS)
Online
2020-08-25
DOI
10.1371/journal.pone.0238149

Ask authors/readers for more resources

Reprint

Contact the author

Find Funding. Review Successful Grants.

Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.

Explore

Ask a Question. Answer a Question.

Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.

Get Started