Predicting Table Beet Root Yield with Multispectral UAS Imagery

Predicting Table Beet Root Yield with Multispectral UAS Imagery

Timely and accurate monitoring has the potential to streamline crop management, harvest planning, and processing in the growing table beet industry of New York state. We used unmanned aerial system (UAS) combined with a multispectral imager to monitor table beet (<i>Beta vulgaris</i> ssp...

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Bibliographic Details
Main Authors: Robert Chancia, Jan van Aardt, Sarah Pethybridge, Daniel Cross, John Henderson
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Remote Sensing
Subjects:
multispectral
precision agriculture
table beet
unmanned aerial system
yield prediction
Online Access:https://www.mdpi.com/2072-4292/13/11/2180

Internet

https://www.mdpi.com/2072-4292/13/11/2180

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