Université de Montréal
M.Sc. candidate
Supervisor: Liliana Perez
Start: 2022-09-01
End: 2024-07-24

Project

Modeling environmental determinants of hive health
The surrounding environment is a major factor of hive health. For several years now, beekeepers have been observing high mortality rates in their honeybee (Apis mellifera) colonies. My master's project involves modeling the surrounding landscape around beehives in Quebec using massive geospatial datasets, in partnership with Montreal-based company Nectar. Nectar's colony survival reports are combined with satellite remote sensing data to predict the survival of beehives in various environments, using statistical and machine-learning models.

Keywords

Géomatique, SIG , GIS, Abeilles, télédétection, remote sensing, Apprentissage automatique, machine learning

Publications

1- Poor air quality raises mortality in honey bees, a concern for all pollinators
Coallier, Nico, Liliana Perez, Maxime Fraser Franco, Yenny Cuellar, Julien Vadnais
2025 Communications Earth & Environment

2- Assessing foraging landscape quality in Quebec's commercial beekeeping through remote sensing, machine learning, and survival analysis
Vadnais, Julien, Liliana Perez, Nico Coallier
2025 Journal of Environmental Management