Related projects
Discover more projects across a range of sectors and discipline — from AI to cleantech to social innovation.
Beehive strength modelling using multiclass supervised machine learning
A third of the food that we grow depends on honeybee pollination. Nectar’s mission is to help the beekeeping industry ensure honeybee health to secure our food supply. By leveraging sensor data with labelled data on numerous aspects of beehive conditions, this project aims to develop multiclass classification of key phenomena to improve beehive health and reduce labor. Labelled data on honey quantity, queen bee status and productivity, population, and pesticides will be modeled to develop a hive strength score based on each labelled data category.
Faculty Supervisor:
Alessandro Lameiras Koerich
Student:
Partner:
Nectar Technologies
Discipline:
Mathematics
Sector:
Biotechnology; Agriculture and Food; Life Sciences (not health)
University:
École de technologie supérieure
Program:
Accelerate
Current openings
Find the perfect opportunity to put your academic skills and knowledge into practice!
Find Projects
International
Load More
International
Load More
