Ronan Trépos
Ronan Trépos
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Cited by
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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