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Other ORP type . 2025
License: CC BY
Data sources: ZENODO
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Other ORP type . 2025
License: CC BY
Data sources: Datacite
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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: Crochard, Ludovic; Mariton, Léa; Fontaine, Colin; Baude, Mathilde; Ragué, Maxime; Bas, Didier; Gaba, Sabrina; +3 Authors

Crochard et al. Supplementay materials: Buzzy bees, Improving bee activity monitoring in sunflower fields with continuous acoustic recording and deep learning

Abstract

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

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average