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

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