Maize yield and nitrate loss prediction with machine learning algorithms

Maize yield and nitrate loss prediction with machine learning algorithms

Pre-growing season prediction of crop production outcomes such as grain yields and nitrogen (N) losses can provide insights to farmers and agronomists to make decisions. Simulation crop models can assist in scenario planning, but their use is limited because of data requirements and long runtimes. T...

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Bibliographic Details
Main Authors: Mohsen Shahhosseini, Rafael A Martinez-Feria, Guiping Hu, Sotirios V Archontoulis
Format: Article
Language:English
Published: IOP Publishing 2019-01-01
Series:Environmental Research Letters
Subjects:
machine learning
maize yield
nitrate loss
prediction
meta-models
Online Access:https://doi.org/10.1088/1748-9326/ab5268

Internet

https://doi.org/10.1088/1748-9326/ab5268

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