| |
Author |
Title |
Year |
Publication |
Volume |
Pages |
Links |
|
|
Wallach, D.; Nissanka, S.P.; Karunaratne, A.S.; Weerakoon, W.M.W.; Thorburn, P.J.; Boote, K.J.; Jones, J.W. |
Accounting for both parameter and model structure uncertainty in crop model predictions of phenology: A case study on rice |
2016 |
European Journal of Agronomy |
|
|
|
|
|
Doltra, J.; Olesen, J.E.; Báez, D.; Louro, A.; Chirinda, N. |
Modeling nitrous oxide emissions from organic and conventional cereal-based cropping systems under different management, soil and climate factors |
2015 |
European Journal of Agronomy |
66 |
8-20 |
|
|
|
Angulo, C.; Gaiser, T.; Rötter, R.P.; Børgesen, C.D.; Hlavinka, P.; Trnka, M.; Ewert, F. |
‘Fingerprints’ of four crop models as affected by soil input data aggregation |
2014 |
European Journal of Agronomy |
61 |
35-48 |
|
|
|
Zhang, S.; Tao, F.; Zhang, Z. |
Uncertainty from model structure is larger than that from model parameters in simulating rice phenology in China |
2017 |
European Journal of Agronomy |
87 |
30-39 |
|
|
|
Makowski, D. |
A simple Bayesian method for adjusting ensemble of crop model outputs to yield observations |
2017 |
European Journal of Agronomy |
88 |
76-83 |
|
