Understanding Growth Dynamics and Yield Prediction of Sorghum Using High Temporal Resolution UAV Imagery Time Series and Machine Learning

Understanding Growth Dynamics and Yield Prediction of Sorghum Using High Temporal Resolution UAV Imagery Time Series and Machine Learning

Unmanned aerial vehicles (UAV) carrying multispectral cameras are increasingly being used for high-throughput phenotyping (HTP) of above-ground traits of crops to study genetic diversity, resource use efficiency and responses to abiotic or biotic stresses. There is significant unexplored potential f...

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Bibliographic Details
Main Authors: Sebastian Varela, Taylor Pederson, Carl J. Bernacchi, Andrew D. B. Leakey
Format: Article
Language:English
Published: MDPI AG 2021-05-01
Series:Remote Sensing
Subjects:
unmanned aerial vehicles
high throughput phenotyping
machine learning
bioenergy crops
Online Access:https://www.mdpi.com/2072-4292/13/9/1763

Internet

https://www.mdpi.com/2072-4292/13/9/1763

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