Wheat Yield Prediction Based on Unmanned Aerial Vehicles-Collected Red–Green–Blue Imagery

Wheat Yield Prediction Based on Unmanned Aerial Vehicles-Collected Red–Green–Blue Imagery

Unmanned aerial vehicles-collected (UAVs) digital red–green–blue (RGB) images provided a cost-effective method for precision agriculture applications regarding yield prediction. This study aims to fully explore the potential of UAV-collected RGB images in yield prediction of winter wheat by comparin...

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Bibliographic Details
Main Authors: Linglin Zeng, Guozhang Peng, Ran Meng, Jianguo Man, Weibo Li, Binyuan Xu, Zhengang Lv, Rui Sun
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Remote Sensing
Subjects:
red–green–blue (RGB) imageries
yield prediction
nitrogen fertilization
vegetation index
Online Access:https://www.mdpi.com/2072-4292/13/15/2937

Internet

https://www.mdpi.com/2072-4292/13/15/2937

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