GeoAI and GIScience to model and simulate the environmental determinants of beehives’ health

Through the integration of geocomputation approaches, Geospatial Artificial Intelligence (GeoAI) and Geographic Information Science (GIScience), this research project will contribute to the development of modeling and simulation approaches that will allow Nectar to understand the key interactions within the bee-human system (beekeeping). Leveraging the technological tool
developed by Nectar, called BeeTrack, the overall aim of these projects is to propose, develop and implement models of the
ecological determinants of beehives’ health by integrating climate and environmental data with Nectar’s BeeTrack data at
different spatial scales and with multitemporal information.

Faculty Supervisor:

Liliana Perez

Student:

Partner:

Nectar Technologies

Discipline:

Computer science

Sector:

Life Sciences (not health); Environmental Science and Technology; Biotechnology

University:

Université de Montréal

Program: