Beehive Environment Monitoring Dataset

The current agricultural field faces challenges such as low monitoring efficiency and insufficient data. Traditional monitoring methods rely on manual observation and are difficult to obtain real-time data. Existing solutions focus on small-scale monitoring, which is insufficient to meet the large-scale agricultural environmental needs. This dataset aims to help agricultural researchers and enterprises improve monitoring efficiency and meet the needs of smart agriculture by providing high-quality beehive environment monitoring images. Data collection is conducted using drones and high-definition cameras in various environments to ensure diversity and representativeness. For quality control, a combination of multi-round annotation and expert review is used to ensure the accuracy and consistency of annotations. Data is stored in JPG format, organized in chronological and locational order for easy subsequent analysis and processing.