Machine Learning for Beehives Monitoring

The goal of the project is to develop a machine learning-based monitoring system for beekeeping using affordable state-of-the-art sensor technology and long-range, low-power wireless data transmission. This system will help beekeepers increase their production and improve their business operations.

To train the machine learning algorithms, we will use data such as temperature and audio from inside the hive, weather data, and images. The system will function as an advisory tool, providing early warnings to beekeepers about health issues within the bee colony and external threats, such as attacks from the Asian hornet.

The final system will be implemented in a cloud environment and will be accessible to any beekeeper using the chosen sensor technology. Beekeepers will receive advice through a mobile app or via SMS service.