Assimilating MODIS data-derived minimum input data set and water stress factors into CERES-Maize model improves regional corn yield predictions.

Assimilating MODIS data-derived minimum input data set and water stress factors into CERES-Maize model improves regional corn yield predictions.

Crop growth models and remote sensing are useful tools for predicting crop growth and yield, but each tool has inherent drawbacks when predicting crop growth and yield at a regional scale. To improve the accuracy and precision of regional corn yield predictions, a simple approach for assimilating Mo...

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Bibliographic Details
Main Authors:	Ho-Young Ban, Joong-Bae Ahn, Byun-Woo Lee
Format:	Article
Language:	English
Published:	Public Library of Science (PLoS) 2019-01-01
Series:	PLoS ONE
Online Access:	https://doi.org/10.1371/journal.pone.0211874

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