Predicting internal conditions of beehives using precision beekeeping

Predicting internal conditions of beehives using precision beekeeping

Precision beekeeping combines technology and statistics aimed at managing an apiary effectively and reducing the risk of situations that can lead to bee population losses. Databases of the we4bee project of three sensorised beehives were considered for analysis. They contain interior sensor data (te...

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Bibliographic Details
Main Authors: Parra, M.I (Author), Pérez, C.J (Author), Robustillo, M.C (Author)
Format: Article
Language:English
Published: Academic Press 2022
Subjects:
Artificial intelligence
Auto-regressive
Condition
Decision support systems
Forecast
Forecasting
Machine learning
Machine-learning
Population statistics
Precision beekeeping
Predictive models
Regression analysis
Sensor data
Sensors data
Temperature-relative humidity
Time series
Times series
Vector autoregressive model
Vectors
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