Incorporating machine learning with biophysical model can improve the evaluation of climate extremes impacts on wheat yield in south-eastern Australia

Published 2019 View Full Article

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Title
Incorporating machine learning with biophysical model can improve the evaluation of climate extremes impacts on wheat yield in south-eastern Australia
Authors
Keywords
Extreme climate events, Wheat yield, APSIM, Random forest, Hybrid model
Journal
AGRICULTURAL AND FOREST METEOROLOGY
Volume 275, Issue -, Pages 100-113
Publisher
Elsevier BV
Online
2019-05-25
DOI
10.1016/j.agrformet.2019.05.018

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