291 citations
- Institut National de Recherche pour l'Agriculture, l'Alimentation et l'EnvironnementFR56 papers
- Centre National de la Recherche ScientifiqueFR51 papers
- Université de MontpellierFR51 papers
- Institut Agro MontpellierFR23 papers
- UMR Botanique et Modélisation de l’Architecture des Plantes et des végétationsFR22 papers
- AgroParisTechFR21 papers
- Territoires, Environnement, Télédétection et Information SpatialeFR20 papers
- Institut de Recherche pour le DéveloppementFR19 papers
- Ingénierie des Agropolymères et Technologies EmergentesFR15 papers
- Laboratoire d'Informatique, de Robotique et de Microélectronique de MontpellierFR15 papers
- Agropolis InternationalFR13 papers
- Amélioration Génétique et Adaptation des Plantes méditerranéennes et tropicalesFR12 papers
6 papers · 1 filter
gym-DSSAT: a crop model turned into a Reinforcement Learning environment
Romain Gautron, Emilio J. Padrón, Philippe Preux +3
Addressing a real world sequential decision problem with Reinforcement Learning (RL) usually starts with the use of a simulated environment that mimics real conditions. We present…
Adaptation to a changing environment: what me Normal?
Jimmy Garnier, O Cotto, T Bourgeron +4
Predicting the adaptation of populations to a changing environment is crucial to assess the impact of human activities on biodiversity. Many theoretical studies have tackled this i…
Choice of mixture Poisson models based on Extreme value theory
Samuel Valiquette, Frédéric Mortier, Jean Peyhardi +1
Count data are omnipresent in many applied fields, often with overdispersion due to an excess of zeroes or extreme values. With mixtures of Poisson distributions representing an el…
Investigating the source of hysteresis in the Soil-Water Characteristic Curve using the multiphase lattice Boltzmann method
Reihaneh Hosseini, Krishna Kumar, Jean-Yves Delenne
The soil-water characteristic curve (SWCC) is the most fundamental relationship in unsaturated soil mechanics, relating the amount of water in the soil to the corresponding matric…
Photometric Redshift Estimation with Convolutional Neural Networks and Galaxy Images: A Case Study of Resolving Biases in Data-Driven Methods
Q. Lin, D. Fouchez, J. Pasquet +4
Deep Learning models have been increasingly exploited in astrophysical studies, yet such data-driven algorithms are prone to producing biased outputs detrimental for subsequent ana…
Protection gaps in Amazon floodplains will increase with climate change: Insight from the world's largest scaled freshwater fish
Nicolas Dubos, Maxime Lenormand, Leandro Castello +3
The Amazon floodplains represent important surfaces of highly valuable ecosystems, yet they remain neglected from protected areas. While the efficiency of the protected area networ…