Smart beekeeping monitoring system using IoT and machine learning

The environment and agriculture depend on honeybee colonies. It&s;s difficult for beekeepers to keep an eye on their health. The Smart Beekeeping Monitoring system is presented in this paper. A system that uses machine learning and sensor data from the Internet of Things to predict the health of hives in real time. Activity and environmental data are used to train a decision tree classifier. Assess the health of hive&s;s conditions . By combining real-time monitoring with visualization features, the proposed solution achieves 93% prediction accuracy. It offers early alerts, promotes wiser choices , and reduces the need for manual labor in beekeeping procedures. This solution improves beekeeping&s;s productivity and sustainability.