Bee-Well: AI-Enabled Hive Health & Production Monitoring

Hive bees provide essential pollination services to human agriculture. Managed honey bees in particular pollinate many crops, but also create honey and other bee products that are now of global economic importance. Beekeeping is a crucial agricultural activity that is needed for pollination and the production of honey. For bee colonies to remain healthy and productive, ideal hive conditions must be maintained. BeeWell: AI-Enabled Hive Health & Production Monitoring integrates Sensors , AI, and Data Analytics to enhance beekeeping practices by providing real-time monitoring, anomaly detection, and predictive insights for hive health and honey production. The system uses sensors (temperature, humidity, hive weight, and sound) deployed in hives, with data collected by Raspberry Pi/Webcam and transmitted to the cloud via HTTP. A camera system analyzes bee activity using Computer Vision (OpenCV, YOLO) to detect abnormal behaviors. The AI model (Autoencoder) monitors hive conditions for anomalies, while ARIMA(autoregressive integrated moving average) model forecasts honey production trends based on historical data and environmental factors. A React.js Web dashboard delivers real-time insights and alerts to beekeepers. Integrated weather APIs and data-driven decisions. We Will Host it on Google Cloud IoT. BeeWell optimizes hive management, minimizes risks, and boosts honey yield through AI-powered analysis and automation.