Use of UAS Multispectral Imagery at Different Physiological Stages for Yield Prediction and Input Resource Optimization in Corn

Use of UAS Multispectral Imagery at Different Physiological Stages for Yield Prediction and Input Resource Optimization in Corn

Changes in spatial and temporal variability in yield estimation are detectable through plant biophysical characteristics observed at different phenological development stages of corn. A multispectral red-edge sensor mounted on an Unmanned Aerial Systems (UAS) can provide spatial and temporal informa...

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Bibliographic Details
Main Authors: Razieh Barzin, Rohit Pathak, Hossein Lotfi, Jac Varco, Ganesh C. Bora
Format: Article
Language:English
Published: MDPI AG 2020-07-01
Series:Remote Sensing
Subjects:
Gradient Boosting
Multispectral red-edge sensor
Random forest
UAS imagery
Vegetation index
Yield prediction.
Online Access:https://www.mdpi.com/2072-4292/12/15/2392

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