Articles | Volume 15, issue 9
https://doi.org/10.5194/gmd-15-3519-2022
https://doi.org/10.5194/gmd-15-3519-2022
Methods for assessment of models
 | 
05 May 2022
Methods for assessment of models |  | 05 May 2022

Nested leave-two-out cross-validation for the optimal crop yield model selection

Thi Lan Anh Dinh and Filipe Aires

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Latest update: 10 Nov 2024
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Short summary
We proposed the leave-two-out method (i.e. one particular implementation of the nested cross-validation) to determine the optimal statistical crop model (using the validation dataset) and estimate its true generalization ability (using the testing dataset). This approach is applied to two examples (robusta coffee in Cu M'gar and grain maize in France). The results suggested that the simple models are more suitable in crop modelling where a limited number of samples is available.