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metadata
tags:
  - Object Detection
  - Image Classification
  - Beehive Monitoring
  - Crop Management
  - Smart Agriculture
license: cc-by-nc-sa-4.0
task_categories:
  - image-classification
language:
  - en
pretty_name: Beehive Environment Monitoring Dataset
size_categories:
  - 1B<n<10B

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.

Technical Specifications

Field Type Description
file_name string File name
quality string Resolution
hive_count int The number of beehives detected in the image.
bee_presence boolean Indicates whether bees are present in the image.
flower_count int The number of flowers detected in the image.
weather_condition string The weather condition shown in the image.
vegetation_density float Analysis of vegetation density in the image.
hive_orientation string The orientation of the beehives in the image.
light_intensity float The intensity of light detected in the image.
image_clarity float Score of the clarity of the image.

Compliance Statement

Authorization Type CC-BY-NC-SA 4.0 (Attribution–NonCommercial–ShareAlike)
Commercial Use Requires exclusive subscription or authorization contract (monthly or per-invocation charging)
Privacy and Anonymization No PII, no real company names, simulated scenarios follow industry standards
Compliance System Compliant with China's Data Security Law / EU GDPR / supports enterprise data access logs

Source & Contact

If you need more dataset details, please visit Mobiusi. or contact us via contact@mobiusi.com