Modern and ethical beekeeping
Honeybees are cute and
fluffy, making up a super-organism that we want to take care of, globally. They are key to
natural pollination and our food supply. Hobby beekeeping is a challenging physical labor
that requires weekly inspections, but is difficult to automate.
Existing solutions on the market are inadequate because they focus on low-cost temperature and sound sensors that provide insufficient information.
Industrial beekeeping like animal husbandry, often raises ethical questions. We want to avoid unhealthy congestion of multiple colonies in a single container, prevent lowering bee lifespan due to mono-culture fields and mobile beekeeping, stop practice of alcohol washing.
Open-source beekeeping assistance system
Long term vision is a single-colony autonomous robotic beehive, powered by deep reinforcement machine learning, giving advanced monitoring to the beekeeper. All of our code is open-source.
Our goals are to:
- reduce human inspection labor using robotic automation, reducing induced stress on bees
- save bee colony from hornet attacks
- give better insights on colony life by analyzing nursing and field bees demographics
- analyze brood development and hive resources
- detect colony diseases from mites (Varroa destructor, Braula coeca, Tropilaelaps clareae, Acarapis woodi, Aethina tumida) and bacterias (Paenibacillus larvae)
Features
- ✅ Detection counting of bees on a frame photo
- ✅ Visually manage beehive and its frames within a web app
- ✅ Upload images of beehive frames
- ✅ Zoom in and draw on top of the frame photos
- ✅ Plantnet integration with list of local plants
- ✅ Weather forecast around apiary
- ✅ Open GraphQL API
Team
Artjom Kurapov, Beekeeper, Software Engineer, Founder |