Professional solution
for determining the subspecies
of honeybees using morphometric analysis of wings
Problem
The species Apis mellifera mellifera includes several subspecies, the differentiation of which is important for breeding and biodiversity conservation.
Currently available methods of subspecies determination based on wing veining measurements involve laborious manual work (1 hour per bee family).
Decision
The program receives photos of wings as input and uses machine vision based on a neural network to place the right points at the intersection of veins and produces ready-made results with analytics and graphs that breeders and scientists need for their work.
The project team includes leading specialists in morphological analysis of bees in Russia.
How the program works
Results of implementation
- Speeding up the bee analysis process
- Increase accuracy and harmonization of dot placement
- Improved accuracy of assay results
- Making it easier for novice breeders to analyze bees in their apiaries as part of breeding programs
- Making it easier for sanctuaries that may be or already are involved in dark forest bee conservation to have a toolkit for monitoring the purity of the subspecies.