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

标题
Dynamic wheat yield forecasts are improved by a hybrid approach using a biophysical model and machine learning technique
作者
关键词
Wheat yield forecast, Extreme climate events, Remote sensing, APSIM, Random forest
出版物
AGRICULTURAL AND FOREST METEOROLOGY
Volume 285-286, Issue -, Pages 107922
出版商
Elsevier BV
发表日期
2020-02-05
DOI
10.1016/j.agrformet.2020.107922

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