Aerial hyperspectral imagery and deep neural networks for high-throughput yield phenotyping in wheat

Title
Aerial hyperspectral imagery and deep neural networks for high-throughput yield phenotyping in wheat
Authors
Keywords
Deep learning, Endmember, Hyperspectral imaging, Neural network, Phenotyping, UAV, Unmixing, Yield
Journal
COMPUTERS AND ELECTRONICS IN AGRICULTURE
Volume 172, Issue -, Pages 105299
Publisher
Elsevier BV
Online
2020-04-02
DOI
10.1016/j.compag.2020.105299

Ask authors/readers for more resources

Reprint

Contact the author

Find the ideal target journal for your manuscript

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

Search

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