| A decision-oriented model to evaluate the effect of land use and agricultural management on herbicide contamination in stream water C Gascuel-Odoux, P Aurousseau, MO Cordier, P Durand, F Garcia, ... Environmental modelling & software 24 (12), 1433-1446, 2009 | 63 | 2009 |
| A plot drainage network as a conceptual tool for the spatial representation of surface flow pathways in agricultural catchments P Aurousseau, C Gascuel-Odoux, H Squividant, R Trepos, F Tortrat, ... Computers & Geosciences 35 (2), 276-288, 2009 | 38 | 2009 |
| Using numerical plant models and phenotypic correlation space to design achievable ideotypes V Picheny, P Casadebaig, R Trépos, R Faivre, D Da Silva, P Vincourt, ... Plant, Cell & Environment 40 (9), 1926-1939, 2017 | 35 | 2017 |
| A machine learning approach for evaluating the impact of land use and management practices on streamwater pollution by pesticides MO Cordier, F Garcia, C Gascuel-Odoux, V Masson, J Salmon-Monviola, ... MODSIM 5, 2651-2657, 2005 | 27 | 2005 |
| Simulating the effect of technical and environmental constraints on the spatio-temporal distribution of herbicide applications and stream losses J Salmon-Monviola, C Gascuel-Odoux, F Garcia, F Tortrat, MO Cordier, ... Agriculture, ecosystems & environment 140 (3-4), 382-394, 2011 | 20 | 2011 |
| Building actions from classification rules R Trépos, A Salleb-Aouissi, MO Cordier, V Masson, C Gascuel-Odoux Knowledge and information systems 34, 267-298, 2013 | 19 | 2013 |
| Delayed and reduced nitrogen fertilization strategies decrease nitrogen losses while still achieving high yields and high grain quality in malting barley D Beillouin, R Trépos, A Gauffreteau, MH Jeuffroy European Journal of Agronomy 101, 174-182, 2018 | 17 | 2018 |
| Optimization of black-box models with uncertain climatic inputs—Application to sunflower ideotype design V Picheny, R Trépos, P Casadebaig PloS one 12 (5), e0176815, 2017 | 17 | 2017 |
| Mining simulation data by rule induction to determine critical source areas of stream water pollution by herbicides R Trépos, V Masson, MO Cordier, C Gascuel-Odoux, J Salmon-Monviola Computers and electronics in agriculture 86, 75-88, 2012 | 15 | 2012 |
| Azodyn-Barley, a winter-barley crop model for predicting and ranking genotypic yield, grain protein and grain size in contrasting pedoclimatic conditions D Beillouin, M Leclère, CM Barbu, M Bénézit, R Trépos, A Gauffreteau, ... Agricultural and Forest Meteorology 262, 237-248, 2018 | 12 | 2018 |
| Apprentissage symbolique à partir de données issues de simulation pour l'aide à la décision. Gestion d'un bassin versant pour une meilleure qualité de l'eau. R Trépos Université de Rennes 1, 2008 | 10 | 2008 |
| A distance-based approach for action recommendation R Trepos, A Salleb, MO Cordier, V Masson, C Gascuel Machine Learning: ECML 2005: 16th European Conference on Machine Learning …, 2005 | 10 | 2005 |
| Increased genetic diversity improves crop yield stability under climate variability: a computational study on sunflower P Casadebaig, R Trépos, V Picheny, NB Langlade, P Vincourt, ... arXiv preprint arXiv:1403.2825, 2014 | 9 | 2014 |
| Optimized cultivar deployment improves the efficiency and stability of sunflower crop production at national scale P Casadebaig, A Gauffreteau, A Landré, NB Langlade, E Mestries, ... Theoretical and Applied Genetics, 1-15, 2022 | 5 | 2022 |
| Decision rules for managing N fertilization based on model simulations and viability assessment C Ravier, R Sabatier, D Beillouin, JM Meynard, R Trépos, MH Jeuffroy European Journal of Agronomy 125, 126247, 2021 | 5 | 2021 |
| Forecasting sunflower grain yield by assimilating leaf area index into a crop model R Trépos, L Champolivier, JF Dejoux, A Al Bitar, P Casadebaig, ... Remote Sensing 12 (22), 3816, 2020 | 5 | 2020 |
| Finding realistic and efficient plant phenotypes using numerical models V Picheny, P Casadebaig, R Trépos, R Faivre, D Da Silva, P Vincourt, ... arXiv preprint arXiv:1603.03238, 2016 | 4 | 2016 |
| Using plant phenotypic plasticity to improve crop performance and stability regarding climatic uncertainty: A computational study on sunflower P Casadebaig, B Poublan, R Trépos, V Picheny, P Debaeke Procedia Environmental Sciences 29, 142-143, 2015 | 4 | 2015 |
| Apprentissage par renforcement pour l’optimisation de la conduite de culture du colza R Trépos, S Lemarié, H Raynal, M Morison, S Couture, F Garcia 14e Journées Francophones Planification, Décision, Apprentissage pour la …, 2014 | 4 | 2014 |
| Predicting sunflower grain yield using remote sensing data and models A Micheneau, L Champolivier, JF Dejoux, R Trepos, P Casadebaig, ... 15. ESA Congress, 180 p., 2018 | 3 | 2018 |
