65 citations · 96 across the 7 of their papers we have counts for
Showing 2018Show all
2 papers · 1 filter
cs.SD2018
Audio-based identification of beehive states
Inês Nolasco, Alessandro Terenzi, Stefania Cecchi +3
The absence of the queen in a beehive is a very strong indicator of the need for beekeeper intervention. Manually searching for the queen is an arduous recurrent task for beekeeper…
cs.SD2018★ 19 cited
To bee or not to bee: Investigating machine learning approaches for beehive sound recognition
Inês Nolasco, Emmanouil Benetos
In this work, we aim to explore the potential of machine learning methods to the problem of beehive sound recognition. A major contribution of this work is the creation and release…