| Author |
Title |
Year |
Publication |
Volume |
Pages |
| Perego, A.; Giussani, A.; Sanna, M.; Fumagalli, M.; Carozzi, M.; Alfieri, L.; Brenna, S.; Acutis, M. |
The ARMOSA simulation crop model: overall features, calibration and validation results |
2013 |
Italian Journal of Agrometeorology |
3 |
23-38 |
| Leclère, D.; Jayet, P.-A.; de Noblet-Ducoudré, N. |
Farm-level Autonomous Adaptation of European Agricultural Supply to Climate Change |
2013 |
Ecological Economics |
87 |
1-14 |
| Coucheney, E.; Buis, S.; Launay, M.; Constantin, J.; Mary, B.; García de Cortázar-Atauri, I.; Ripoche, D.; Beaudoin, N.; Ruget, F.; &rianarisoa, K.S.; Le Bas, C.; Justes, E.; Léonard, J. |
Accuracy, robustness and behavior of the STICS soil–crop model for plant, water and nitrogen outputs: Evaluation over a wide range of agro-environmental conditions in France |
2015 |
Environmental Modelling & Software |
64 |
177-190 |
| Sanna, M.; Bellocchi, G.; Fumagalli, M.; Acutis, M. |
A new method for analysing the interrelationship between performance indicators with an application to agrometeorological models |
2015 |
Environmental Modelling & Software |
73 |
286-304 |
| 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 |
