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 | 61 | 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 | 40 | 2017 |
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 Trépos, F Tortrat, ... Computers & Geosciences 35 (2), 276-288, 2009 | 38 | 2009 |
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 | 26 | 2005 |
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 | 22 | 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 | 21 | 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 | 20 | 2017 |
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 | 19 | 2011 |
Forecasting sunflower grain yield using remote sensing data and statistical models P Debaeke, F Attia, L Champolivier, JF Dejoux, A Micheneau, A Al Bitar, ... European Journal of Agronomy 142, 126677, 2023 | 16 | 2023 |
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 | 16 | 2012 |
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 | 14 | 2020 |
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 | 12 | 2021 |
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 Benezit, 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 Rennes 1, 2008 | 12 | 2008 |
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 135 (11), 4049-4063, 2022 | 11 | 2022 |
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 | 10 | 2014 |
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 |
Using plant phenotypic plasticity to improve crop performance and stability regarding climatic uncertainty: A computational study on sunflower P Casadebaig, B Poublan, R Trepos, V Picheny, P Debaeke Procedia Environmental Sciences 29, 142-143, 2015 | 7 | 2015 |
FlywayNet: A hidden semi‐Markov model for inferring the structure of migratory bird networks from count data S Nicol, MJ Cros, N Peyrard, R Sabbadin, R Trépos, RA Fuller, ... Methods in Ecology and Evolution 14 (1), 265-279, 2023 | 4 | 2023 |
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 |