A data fusion approach on confocal Raman microspectroscopy and electronic nose for quantitative evaluation of pesticide residue in tea

Title
A data fusion approach on confocal Raman microspectroscopy and electronic nose for quantitative evaluation of pesticide residue in tea
Authors
Keywords
Confocal Raman microspectroscopy, Electronic nose, Data fusion, Regression models, Tea leaves, Pesticide residue
Journal
BIOSYSTEMS ENGINEERING
Volume 210, Issue -, Pages 206-222
Publisher
Elsevier BV
Online
2021-09-09
DOI
10.1016/j.biosystemseng.2021.08.016

Ask authors/readers for more resources

Reprint

Contact the author

Discover Peeref hubs

Discuss science. Find collaborators. Network.

Join a conversation

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