| Poster Number | Presenter | Title |
| S4-P.01 | B Geethanjali | A Framework for Banana plantation growth using Blockchain Technology |
| S4-P.02 | David Colliaux | Robots for data collection in biology and agriculture. |
| S4-P.03 | Roberto Ferrise | A simple yet reliable system to support fertilisation decision making at farm level |
| S4-P.04 | Alberto Gutiérrez García | An operational crop yield forecast system in Castilla y Leon based on an agronomic model combining meteorological data. |
| S4-P.05 | Jérémie Haumont | Data assimilation of crop models and drone images based on an iterative sensitivity analysis for precision fertilization |
| S4-P.06 | Anna Kis | Bias correction of regional climate model results for crop simulations: hidden pitfalls and possible solutions |
| S4-P.07 | Florian Larue | Recurrent neural networks to model oil palm tree abortion |
| S4-P.08 | Kersten Kühl | Nnnovative - Development and validation of information services for the optimization of Nitrogen use in agriculture |
| S4-P.09 | Luisa Leolini | DROLIVe: a platform for monitoring olive groves |
| S4-P.10 | Maria Soldevilla | Using assimilation techniques to predict yield in the DSSAT model |
| S4-P.11 | Andreas Tewes | Assimilation of Leaf Area Measurements Into A Crop Model to Improve Sub-Field Wheat Biomass Estimations |
| S4-P.12 | Frits K. Van Evert | Calibration of a crop model using data from a commercial potato farm |
| S4-P.13 | Tobias KD Weber | 9 years of multi-site measurements in the SVAT continuum: A comprehensive dataset from contrasting regions in Germany |
| S4-P.14 | Hossein Zare | Comparison of process model predicted LAI to real-time data assimilation and a simple model |
| S4-P.15 | Yinsuo Zhang | Enhancing Regional Yield Forecasting of Five Major Crops in Canada using Earth Observation |