Dynamic wheat yield forecasts are improved by a hybrid approach using a biophysical model and machine learning technique

Authors

Keywords

Wheat yield forecast, Extreme climate events, Remote sensing, APSIM, Random forest

Journal

Volume 285-286, Issue -, Pages 107922

Publisher

Elsevier BV

Online

2020-02-05

DOI

10.1016/j.agrformet.2020.107922

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