Author  |
Title |
Year |
Publication |
Volume |
Pages |
| Mansouri, M.; Destain, M.-F. |
Predicting biomass and grain protein content using Bayesian methods |
2015 |
Stochastic Environmental Research and Risk Assessment |
29 |
1167-1177 |
| Mansouri, M.; Dumont, B.; Destain, M.-F. |
Modeling and prediction of nonlinear environmental system using Bayesian methods |
2013 |
Computers and Electronics in Agriculture |
92 |
16-31 |
| Mansouri, M.; Dumont, B.; Leemans, V.; Destain, M.-F. |
Bayesian methods for predicting LAI and soil water content |
2014 |
Precision Agriculture |
15 |
184-201 |
| Podhora, A.; Helming, K.; Adenäuer, L.; Heckelei, T.; Kautto, P.; Reidsma, P.; Rennings, K.; Turnpenny, J.; Jansen, J. |
The policy-relevancy of impact assessment tools: Evaluating nine years of European research funding |
2013 |
Environmental Science & Policy |
31 |
85-95 |
| Robinson, S.; van Meijl, H.; Willenbockel, D.; Valin, H.; Fujimori, S.; Masui, T.; Sands, R.; Wise, M.; Calvin, K.; Havlik, P.; Mason d’Croz, D.; Tabeau, A.; Kavallari, A.; Schmitz, C.; Dietrich, J.P.; von Lampe, M. |
Comparing supply-side specifications in models of global agriculture and the food system |
2014 |
Agricultural Economics |
45 |
21-35 |
