Achieving a robust Vis/NIR model for microbial contamination detection of Persian leek by spectral analysis based on genetic, iPLS algorithms and VIP scores

Title
Achieving a robust Vis/NIR model for microbial contamination detection of Persian leek by spectral analysis based on genetic, iPLS algorithms and VIP scores
Authors
Keywords
Post harvest quality, Food contamination, Spectral analysis, Machine learning
Journal
POSTHARVEST BIOLOGY AND TECHNOLOGY
Volume 175, Issue -, Pages 111413
Publisher
Elsevier BV
Online
2020-11-21
DOI
10.1016/j.postharvbio.2020.111413

Ask authors/readers for more resources

Reprint

Contact the author

Add your recorded webinar

Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.

Upload Now

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