ABSTRACT
This paper discusses the decline of honeybee populations due to Colony Collapse Disorder (CCD) and presents a review of advanced beehive monitoring systems. It introduces a system that uses temperature and humidity sensors, hive weight, and a microphone module for real-time data transfer to an Arduino Cloud-based platform. The system also highlights the importance of honeybees in global agriculture and uses bee counting techniques for hive entrance. The paper also explores an embedded data acquisition system for automated beehive monitoring, measuring temperature, humidity, and hive weight. The system uses machine learning to provide nuanced insights into hive health for beekeepers. The paper concludes with an embedded data acquisition system for automated monitoring and an ESP32-controlled counting system for precise monitoring.
