Combining Multi-Source Data and Machine Learning Approaches to Predict Winter Wheat Yield in the Conterminous United States

Combining Multi-Source Data and Machine Learning Approaches to Predict Winter Wheat Yield in the Conterminous United States

Winter wheat (<i>Triticum aestivum</i> L.) is one of the most important cereal crops, supplying essential food for the world population. Because the United States is a major producer and exporter of wheat to the world market, accurate and timely forecasting of wheat yield in the United S...

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Bibliographic Details
Main Authors: Yumiao Wang, Zhou Zhang, Luwei Feng, Qingyun Du, Troy Runge
Format: Article
Language:English
Published: MDPI AG 2020-04-01
Series:Remote Sensing
Subjects:
Winter wheat
yield prediction
machine learning
multi-source data
CONUS
Online Access:https://www.mdpi.com/2072-4292/12/8/1232

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