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.
Voir la description complète du projetAlessandro Lameiras Koerich
Nectar Technologies
Mathematics
Biotechnology; Agriculture and Food; Life Sciences (not health)
École de technologie supérieure
Accelerate
