Honey Production Dataset

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)

1. Date

Type: Temporal (date)

Purpose: To order the series and analyze changes over time

2. Environmental Temperature (°C)

External (ambient) temperature

Influences:

Bee activity

Internal hive regulation

3. Relative Humidity (%)

External environmental humidity

Impacts:

Honey production

Flight conditions

4. Hive Temperature (°C)

Internal hive temperature

Critical variable:

Indicator of colony health

Natural thermal regulation by bees (~30–35°C ideal)

5. Hive Humidity (%)

Humidity inside the hive

Related to:

Honey preservation

Brood development

6. Wind Speed (km/h)

Wind speed

Affects:

Bee activity (leaving the hive)

Nectar collection

7. Honey Weight (kg)

Amount of honey produced

Direct production variable

8. Total Weight (Hive + Bees) (kg)

Total system weight

Includes:

Hive

Bees

Honey

Allows inference of:

Colony growth

Accumulated production

9. 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).