Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
5761321 | European Journal of Agronomy | 2017 | 10 Pages |
Abstract
The estimated effect of climate on yield was highly sensitive to the chosen regression method. Regression models showing similar performance led in some cases to different conclusions with respect to effect of temperature and precipitation. Hence, it is recommended to apply an ensemble of regression models, in order to account for the sensitivity of the data driven models for projecting crop yield under climate change.
Related Topics
Life Sciences
Agricultural and Biological Sciences
Agronomy and Crop Science
Authors
Behzad Sharif, David Makowski, Finn Plauborg, Jørgen E. Olesen,