| Author |
Title |
Year |
Publication |
Volume  |
Pages |
| Schauberger, B.; Rolinski, S.; Müller, C. |
A network-based approach for semi-quantitative knowledge mining and its application to yield variability |
2016 |
Environmental Research Letters |
11 |
123001 |
| Mansouri, M.; Dumont, B.; Leemans, V.; Destain, M.-F. |
Bayesian methods for predicting LAI and soil water content |
2014 |
Precision Agriculture |
15 |
184-201 |
| Doro, L.; Jones, C.; Williams, J.R.; Norfleet, M.L.; Izaurralde, R.C.; Wang, X.; Jeong, J. |
The Variable Saturation Hydraulic Conductivity Method for Improving Soil Water Content Simulation in EPIC and APEX Models |
2017 |
Vadose Zone Journal |
16 |
|
| Mansouri, M.; Destain, M.-F. |
Predicting biomass and grain protein content using Bayesian methods |
2015 |
Stochastic Environmental Research and Risk Assessment |
29 |
1167-1177 |
| Murat, M.; Malinowska, I.; Hoffmann, H.; Baranowski, P. |
Statistical modelling of agrometeorological time series by exponential smoothing |
2016 |
International Agrophysics |
30 |
57-65 |
