Honey Production Dataset

Description

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).

Steps to reproduce

git clone https://github.com/Juankidd/beehive.git cd beehive python -m venv venv source venv/bin/activate # Linux / Mac venv\Scripts\activate # Windows

Institutions

• Universidad de Salamanca

  Castille and León, Salamanca

Categories

Licence