Follow
Ronan Trépos
Ronan Trépos
INRA - MIAT
Verified email at inrae.fr - Homepage
Title
Cited by
Cited by
Year
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
612009
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
342009
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
282017
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, ...
Modelling, Simulation Society of Australia, and New Zealand, editors, MODSIM 5, 2005
252005
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
182011
Building actions from classification rules
R Trépos, A Salleb-Aouissi, MO Cordier, V Masson, C Gascuel-Odoux
Knowledge and information systems 34 (2), 267-298, 2013
172013
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
162017
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
142018
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
122012
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
102008
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
92018
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
92014
A distance-based approach for action recommendation
R Trepos, A Salleb, MO Cordier, V Masson, C Gascuel
European conference on machine learning, 425-436, 2005
92005
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
32022
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
32018
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
32016
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
32015
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
22021
Outils, références et méthodes pour la construction d’un simulateur pour la prévision du rendement et de la qualité du tournesol à l’échelle territoriale mobilisant la …
L Champolivier, P Debaeke, JF Dejoux, C Dizien, A Micheneau, ...
Innovations Agronomiques 71, 15-34, 2019
22019
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
22014
The system can't perform the operation now. Try again later.
Articles 1–20