Published June 30, 2025
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Crochard et al. Supplementay materials: Buzzy bees, Improving bee activity monitoring in sunflower fields with continuous acoustic recording and deep learning
Authors/Creators
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1.
Centre d'Écologie et des Sciences de la Conservation
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2.
Institut d'écologie et des sciences de l'environnement de Paris
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3.
Centre for Biological Studies of Chize
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4.
Centre d'Etudes Biologiques de Chizé
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5.
Muséum national d'Histoire naturelle
Description
Supplementary materials : Buzzy bees, quantifying bee activity within sunflower fields using acoustic monitoring and deep learning
- Supplementary informations
- 3 data sets:
- One is the database used to train the pollinator buzz recognition classifier
- One used to study the relationship between the number of honeybees counted per transect and the number of flying insects detected on acoustic recordings on the same day
- One used to study the relationship between the average number of buzzes per day detected during flowering season and the average number of honeybees per observation session
- The best pollinator buzzes recognition classifier obtained after all the steps described in "Buzzy bees, quantifying bee activity within sunflower fields using acoustic monitoring and deep Learning"
- 1 R script
- 1 README
Files
df_daily.csv
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