Comparative assessment of environmental variables and machine learning algorithms for maize yield prediction in the US Midwest

Comparative assessment of environmental variables and machine learning algorithms for maize yield prediction in the US Midwest

Crop yield estimates over large areas are conventionally made using weather observations, but a comprehensive understanding of the effects of various environmental indicators, observation frequency, and the choice of prediction algorithm remains elusive. Here we present a thorough assessment of coun...

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Bibliographic Details
Main Authors: Yanghui Kang, Mutlu Ozdogan, Xiaojin Zhu, Zhiwei Ye, Christopher Hain, Martha Anderson
Format: Article
Language:English
Published: IOP Publishing 2020-01-01
Series:Environmental Research Letters
Subjects:
crop yields
climate impact
machine learning
deep learning
data-driven
Online Access:https://doi.org/10.1088/1748-9326/ab7df9

Internet

https://doi.org/10.1088/1748-9326/ab7df9

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