Grüezi
I am an agronomist specialized in data science | statistics.
Actually a Plant Science | Data Science PhD student.
I am Working on maize response to competition in light interception thanks to High-Throughput Phenotyping.
Related works : Phenotyping | Deep Learning | Image analysis | 3D Point Cloud | Models | Ecophysiology.
| Name | : | Mario SEROUART |
| Github | : | github.com/mserouar |
| : | m.serouart@arvalis.fr |
Works
Publications (5) last scraped for Mario SEROUART on 2023-05-23 using google-scholar-export.
VegAnn, Vegetation Annotation of multi-crop RGB images acquired under diverse conditions for segmentation
by S Madec, K Irfan, K Velumani, F Baret, E David, G Daubige, L Bernigaud Samatan, M Serouart, D Smith, C James, F Camacho, W Guo, B De Solan, S C Chapman, M Weiss
Nature Scientific Data
Analyzing Changes in Maize Leaves Orientation due to GxExM Using an Automatic Method from RGB Images
by M Serouart, R Lopez Lozano, G Daubige, M Baumont, B Escale, B De Solan, F Baret
Plant Phenomics
SegVeg: Segmenting RGB images into green and senescent vegetation by combining deep and shallow methods
by M Serouart, S Madec, E David, K Velumani, RL Lozano, M Weiss, F Baret
Plant Phenomics
Maize plasticity characterization through in-field 3D phenotyping
by M SEROUART, RL Lozano, M Beaumont, B Escale, B de Solan, F Baret
7th International Plant Phenotyping Symposium 2022
Global wheat head detection 2021: an improved dataset for benchmarking wheat head detection methods
by E David, M Serouart, D Smith, S Madec, K Velumani, S Liu, X Wang, ...
Plant Phenomics
Employement
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2018
DATA SCIENTIST
University of Zürich | 4 months
Data Science in R (data visualization, anomaly detection, and prediction on Thermodynamics laws) for the country's leading retailer (MIGROS).
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2019 & 2020
ACADEMIC PROJECTS
L'Institut Agro | Rennes
Management and estimation of missing data using Deep Learning (Autoencoders).
Comparison with classical methods (RF, PCA).
Design of an innovative product (beer with lactic acid bacteria).
Complete sensory analysis based on Q-methodology.
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2020 & 2021
DATA SCIENTIST
INRAe Avignon | 1 year
Sensitivity to the spatial scale of pixel- and image-based methods for estimating the green fraction from RGB images.
Deep | Shallow Learning model for pixels segmentation of high resolution RGB images into background, green vegetation and senescent vegetation.
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2021 - 2024
PHD STUDENT
INRAe & Arvalis | Avignon | Currently
Characterization of maize response to competition: effects of stand structure and evenness on crop performance.
Skills
Mother tongue
Fluent - TOEIC 900/990 points
Level B2+
Beginner
Education
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2018 - 2020
UNIVERSITE RENNES 1
Dual Degree Master 2 Data Science | Rennes
Specialized in Statistics.
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2015 - 2020
AGROCAMPUS OUEST
Master 2 | Rennes
L'insitut Agro | Former AgroCampus Ouest : an institution of higher learning, which trains students in Agronomy | Agroecology and Management.
Admission is based upon higly selective criteria.
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2014 - 2015
PREPARATORY CLASSES FOR ENTRANCE EXAMINATIONS TO THE FRENCH GRANDES ECOLES
Lycée Malherbe | Caen
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2014
BACCALAUREAT (NATIONAL FRENCH HIGH SCHOOL DIPLOMA)
Lycée Leverrier | Saint Lô
Major in Sciences, concentration in Biology, Chemistry and Maths.
Obtain with honors.