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Uncertainties in predicting rice yield by current crop models under a wide range of climatic conditions

Global change biology, 2015-03, Vol.21 (3), p.1328-1341

2015

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Estimation of Plant and Canopy Architectural Traits Using the Digital Plant Phenotyping Platform

Plant physiology (Bethesda), 2019-11, Vol.181 (3), p.881-890

2019

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Global sensitivity analysis measures the quality of parameter estimation: The case of soil parameters and a crop model

Environmental modelling & software : with environment data news, 2010-03, Vol.25 (3), p.310-319

2010

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A taxonomy-based approach to shed light on the babel of mathematical models for rice simulation

Environmental modelling & software : with environment data news, 2016-11, Vol.85, p.332-341

2016

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An Improved Method to Estimate Soil Hydrodynamic and Hydraulic Roughness Parameters by Using Easily Measurable Data During Flood Irrigation Experiments and Inverse Modelling

Water (Basel), 2018-11, Vol.10 (11), p.1581

2018

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Estimation of Plant and Canopy Architectural Traits Using the Digital Plant Phenotyping Platform1 [OPEN]

Plant physiology (Bethesda), 2019-11, Vol.181 (3), p.881

2019

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Crop specific inversion of PROSAIL to retrieve green area index (GAI) from several decametric satellites using a Bayesian framework

Remote sensing of environment, 2022-09, Vol.278, p.113085, Article 113085

2022

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Intercomparison of the primal and dual formulations of variational data assimilation

Quarterly journal of the Royal Meteorological Society, 2008-04, Vol.134 (633), p.1015-1025

2008

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Evaluating the impact of using digital soil mapping products as input for spatializing a crop model: The case of drainage and maize yield simulated by STICS in the Berambadi catchment (India)

Geoderma, 2022-01, Vol.406, p.115503, Article 115503

2022

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Estimating soil available water capacity within a Mediterranean vineyard watershed using satellite imagery and crop model inversion

Geoderma, 2022-11, Vol.425, p.116081, Article 116081

2022

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Cluster-based GSA: Global sensitivity analysis of models with temporal or spatial outputs using clustering

Environmental modelling & software : with environment data news, 2021-06, Vol.140, p.105046, Article 105046

2021

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A filter-based approach for global sensitivity analysis of models with functional inputs

Reliability engineering & system safety, 2019-07, Vol.187, p.119-128

2019

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A calibration protocol for soil-crop models

Environmental modelling & software : with environment data news, 2024-09, Vol.180, p.106147, Article 106147

2024

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Accuracy, robustness and behavior of the STICS soil–crop model for plant, water and nitrogen outputs: Evaluation over a wide range of agro-environmental conditions in France

Environmental modelling & software : with environment data news, 2015-02, Vol.64, p.177-190

2015

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Estimation of Plant and Canopy Architectural Traits Using the Digital Plant Phenotyping Platform1[OPEN]

Plant physiology (Bethesda), 2019-08, Vol.181 (3), p.881-890

2019

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Climate change effects on leaf rust of wheat: Implementing a coupled crop-disease model in a French regional application

European journal of agronomy, 2017-10, Vol.90, p.53-66

2017

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Available water capacity from a multidisciplinary and multiscale viewpoint. A review

Agronomy for sustainable development, 2022-06, Vol.42 (3), Article 46

2022

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Estimation of plant and canopy architectural traits using the D3P Digital Plant Phenotyping Platform

Plant physiology (Bethesda), 2019, Vol.181 (3), p.881-890

2019

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A trait‐based model ensemble approach to design rice plant types for future climate

Global change biology, 2022-04, Vol.28 (8), p.2689-2710

2022

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Estimation of available water capacity components of two-layered soils using crop model inversion: Effect of crop type and water regime

Journal of hydrology (Amsterdam), 2017-03, Vol.546, p.166-178

2017

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Robustness of crop disease response to climate change signal under modeling uncertainties

Agricultural systems, 2020-02, Vol.178, p.102733, Article 102733

2020

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The chaos in calibrating crop models: Lessons learned from a multi-model calibration exercise

Environmental modelling & software : with environment data news, 2021-11, Vol.145, p.105206, Article 105206

2021

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Evaluation of a spatialized agronomic model in predicting yield and N leaching at the scale of the Seine-Normandie Basin

Environmental science and pollution research international, 2018-08, Vol.25 (24), p.23529-23558

2018

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Combining hectometric and decametric satellite observations to provide near real time decametric FAPAR product

Remote sensing of environment, 2017-10, Vol.200, p.250-262

2017

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Use of global sensitivity analysis to assess the soil poroelastic parameter influence

Wave motion, 2017-07, Vol.72, p.377-394

2017

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Uncertainties in predicting rice yield by current crop models under a wide range of climatic conditions

Estimation of Plant and Canopy Architectural Traits Using the Digital Plant Phenotyping Platform

Global sensitivity analysis measures the quality of parameter estimation: The case of soil parameters and a crop model

A taxonomy-based approach to shed light on the babel of mathematical models for rice simulation

An Improved Method to Estimate Soil Hydrodynamic and Hydraulic Roughness Parameters by Using Easily Measurable Data During Flood Irrigation Experiments and Inverse Modelling

Estimation of Plant and Canopy Architectural Traits Using the Digital Plant Phenotyping Platform1 [OPEN]

Crop specific inversion of PROSAIL to retrieve green area index (GAI) from several decametric satellites using a Bayesian framework

Intercomparison of the primal and dual formulations of variational data assimilation

Evaluating the impact of using digital soil mapping products as input for spatializing a crop model: The case of drainage and maize yield simulated by STICS in the Berambadi catchment (India)

Estimating soil available water capacity within a Mediterranean vineyard watershed using satellite imagery and crop model inversion

Cluster-based GSA: Global sensitivity analysis of models with temporal or spatial outputs using clustering

A filter-based approach for global sensitivity analysis of models with functional inputs

A calibration protocol for soil-crop models

Accuracy, robustness and behavior of the STICS soil–crop model for plant, water and nitrogen outputs: Evaluation over a wide range of agro-environmental conditions in France

Estimation of Plant and Canopy Architectural Traits Using the Digital Plant Phenotyping Platform1[OPEN]

Climate change effects on leaf rust of wheat: Implementing a coupled crop-disease model in a French regional application

Available water capacity from a multidisciplinary and multiscale viewpoint. A review

Estimation of plant and canopy architectural traits using the D3P Digital Plant Phenotyping Platform

A trait‐based model ensemble approach to design rice plant types for future climate

Estimation of available water capacity components of two-layered soils using crop model inversion: Effect of crop type and water regime

Robustness of crop disease response to climate change signal under modeling uncertainties

The chaos in calibrating crop models: Lessons learned from a multi-model calibration exercise

Evaluation of a spatialized agronomic model in predicting yield and N leaching at the scale of the Seine-Normandie Basin

Combining hectometric and decametric satellite observations to provide near real time decametric FAPAR product

Use of global sensitivity analysis to assess the soil poroelastic parameter influence

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