Computer-implemented method for monitoring and predicting the risk of bee pathogens and environmental hazards, and a system for implementing the method

Abstract

The subject of the application is a computer-implemented method for monitoring and forecasting the risk of bee pathogens and environmental threats, as well as a system for implementing this method, based on the analysis of volatile chemical compounds, Internet-of-Things loT sensors, machine learning, and satellite data. The application covers both the efficient transmission of data from sensors to the cloud, their storage and processing, and the application of machine learning methods for data analysis and interpretation to support hive management and pathogen detection.