Prediction of Field-Scale Wheat Yield Using Machine Learning Method and Multi-Spectral UAV Data

Prediction of Field-Scale Wheat Yield Using Machine Learning Method and Multi-Spectral UAV Data

Accurate prediction of food crop yield is of great significance for global food security and regional trade stability. Since remote sensing data collected from unmanned aerial vehicle (UAV) platforms have the features of flexibility and high resolution, these data can be used as samples to develop r...

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Bibliographic Details
Main Authors: Chaofa Bian, Hongtao Shi, Suqin Wu, Kefei Zhang, Meng Wei, Yindi Zhao, Yaqin Sun, Huifu Zhuang, Xuewei Zhang, Shuo Chen
Format: Article
Language:English
Published: MDPI AG 2022-03-01
Series:Remote Sensing
Subjects:
UAV multispectral image
machine learning
field scale
winter wheat
yield prediction
vegetation index
Online Access:https://www.mdpi.com/2072-4292/14/6/1474

Internet

https://www.mdpi.com/2072-4292/14/6/1474

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