Research Engineer

Impact of hedgerows on field crops and water stress in agroforestry.

Ph.D

Intraspecific competition in maize : Observation through in situ phenotyping, in silico modelling, light regime and application to sowing structure optimization.

Research Engineer | Data Scientist

Conducted a study on the sensitivity to spatial scale in pixel- and image-based methods.

Developed Deep and Shallow learning models for pixel segmentation of high-resolution RGB images, distinguishing abiotic stress.

Academic projects

Management and estimation of missing data using Deep Learning (Autoencoders).

Data Scientist

Conducted anomaly detection and prediction based on Thermodynamics principles for the prominent national retailer (MIGROS).

[FRENCH] AI for agro-ecology : Application to multi-species phenotyping of mixed crops

Mario Serouart

Identifying maize architectural ideotypes through 3D structural model validated in the field: Assessing the impact of plant architecture and sowing pattern to improve canopy light regime

Mario Serouart, Raúl López-Lozano, Brigitte Escale, Maëva Baumont, Jean-Charles Deswarte, Lucas Samatan Bernigaud, Marie Weiss and Benoit de Solan

Thesis

Mario Serouart

VegAnn, Vegetation Annotation of multi-crop RGB images acquired under diverse conditions for segmentation

Simon Madec, Kamran Irfan, Kaaviya Velumani, Frederic Baret, Etienne David, Gaetan Daubige, Lucas Bernigaud Samatan, Mario Serouart, Daniel Smith, Chrisbin James, Fernando Camacho, Wei Guo, Benoit De Solan, Scott C Chapman, Marie Weiss

Analyzing Changes in Maize Leaves Orientation due to GxExM Using an Automatic Method from RGB Images

Mario Serouart, Raul Lopez-Lozano, Gaëtan Daubige, Maëva Baumont, Brigitte Escale, Benoit De Solan, Frédéric Baret

SegVeg: Segmenting RGB images into green and senescent vegetation by combining deep and shallow methods

Mario Serouart, Simon Madec, Etienne David, Kaaviya Velumani, Raul Lopez Lozano, Marie Weiss, Frédéric Baret

Maize plasticity characterization through in-field 3D phenotyping

Mario Serouart

Global wheat head detection 2021: an improved dataset for benchmarking wheat head detection methods

Etienne David, Mario Serouart, Daniel Smith, Simon Madec, Kaaviya Velumani, Shouyang Liu, [...] Scott Chapman, Benoit de Solan, Frédéric Baret, Ian Stavness, Wei Guo

Ph.D

Agronomic Sciences

Dual Master's Degree | Statistics & Agronomy

Preparatory classes | BCPST

For entrance examinations to the french grandes écoles.

Admission and entrance exams based upon highly selective criteria.