A deep learning based regression method on hyperspectral data for rapid prediction of cadmium residue in lettuce leaves

Title
A deep learning based regression method on hyperspectral data for rapid prediction of cadmium residue in lettuce leaves
Authors
Keywords
Stacked auto-encoders, Hyperspectral imaging, Lettuce, Heavy metal, Nondestructive testing
Journal
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
Volume 200, Issue -, Pages 103996
Publisher
Elsevier BV
Online
2020-03-14
DOI
10.1016/j.chemolab.2020.103996

Ask authors/readers for more resources

Reprint

Contact the author

Discover Peeref hubs

Discuss science. Find collaborators. Network.

Join a conversation

Find the ideal target journal for your manuscript

Explore over 38,000 international journals covering a vast array of academic fields.

Search