| |
Author |
Title |
Year |
Publication |
Volume |
Pages  |
Links |
|
|
Mansouri, M.; Destain, M.-F. |
Predicting biomass and grain protein content using Bayesian methods |
2015 |
Stochastic Environmental Research and Risk Assessment |
29 |
1167-1177 |
|
|
|
Wallach, D.; Thorburn, P.; Asseng, S.; Challinor, A.J.; Ewert, F.; Jones, J.W.; Rötter, R.; Ruane, A. |
Estimating model prediction error: Should you treat predictions as fixed or random |
2016 |
Environmental Modelling & Software |
84 |
529-539 |
|
|
|
Refsgaard, J.C.; Madsen, H.; Andréassian, V.; Arnbjerg-Nielsen, K.; Davidson, T.A.; Drews, M.; Hamilton, D.P.; Jeppesen, E.; Kjellström, E.; Olesen, J.E.; Sonnenborg, T.O.; Trolle, D.; Willems, P.; Christensen, J.H. |
A framework for testing the ability of models to project climate change and its impacts |
2014 |
Climatic Change |
122 |
271-282 |
|
|
|
Dumont, B.; Leemans, V.; Ferrandis, S.; Bodson, B.; Destain, J.-P.; Destain, M.-F. |
Assessing the potential of an algorithm based on mean climatic data to predict wheat yield |
2014 |
Precision Agriculture |
15 |
255-272 |
|
|
|
Semenov, M.A.; Stratonovitch, P. |
Adapting wheat ideotypes for climate change: accounting for uncertainties in CMIP5 climate projections |
2015 |
Climate Research |
65 |
123-139 |
|
