Predicting Zea mays Flowering Time, Yield, and Kernel Dimensions by Analyzing Aerial Images

Predicting Zea mays Flowering Time, Yield, and Kernel Dimensions by Analyzing Aerial Images

Image analysis methods for measuring crop phenotypes may replace traditional measurements if they more efficiently and reliably capture similar or superior information. This study used a recreational-grade unmanned aerial vehicle carrying a spectrally-modified consumer-grade camera to collect images...

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Bibliographic Details
Main Authors: Guosheng Wu, Nathan D. Miller, Natalia de Leon, Shawn M. Kaeppler, Edgar P. Spalding
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-10-01
Series:Frontiers in Plant Science
Subjects:
normalized difference vegetation index
Zea mays
unmanned aerial vehicle
flowering time
grain yield
kernel dimension
Online Access:https://www.frontiersin.org/article/10.3389/fpls.2019.01251/full

Internet

https://www.frontiersin.org/article/10.3389/fpls.2019.01251/full

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