The repository gathers comprehensive data from the beekeeping process, that is, information related to the functioning and condition of a beehive. It is intended for applications in:
Edge artificial intelligence (local devices)
Internet of Things (IoT)
Bio-inspired models (inspired by bee behavior)
Dataset Type
Type: Multivariate time series
Granularity: Daily records (consecutive dates)
Domain: Beekeeping + IoT + environmental monitoring
Variables (Columns)
- Date
Type: Temporal (date)
Purpose: To order the series and analyze changes over time
- Environmental Temperature (°C)
External (ambient) temperature
Influences:
Bee activity
Internal hive regulation
- Relative Humidity (%)
External environmental humidity
Impacts:
Honey production
Flight conditions
- Hive Temperature (°C)
Internal hive temperature
Critical variable:
Indicator of colony health
Natural thermal regulation by bees (~30–35°C ideal)
- Hive Humidity (%)
Humidity inside the hive
Related to:
Honey preservation
Brood development
- Wind Speed (km/h)
Wind speed
Affects:
Bee activity (leaving the hive)
Nectar collection
- Honey Weight (kg)
Amount of honey produced
Direct production variable
- Total Weight (Hive + Bees) (kg)
Total system weight
Includes:
Hive
Bees
Honey
Allows inference of:
Colony growth
Accumulated production
- Extract Honey (boolean)
Type: Categorical variable (TRUE/FALSE)
Indicates:
Whether it is time to extract honey
Key for:
Supervised classification problems
Acknowledgments
This research is part of the International Chair Project on Trustworthy Artificial Intelligence and Demographic Challenge within the National Strategy for Artificial Intelligence (ENIA), in the framework of the European Recovery, Transformation, and Resilience Plan. Reference: TSI-100933-2023-0001. This project is funded by the Secretary of State for Digitalization and Artificial Intelligence and by the European Union (Next Generation).