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Bioacoustic Dataset of Sudden Queen Loss in An Apis Mellifera L. Honeybee Colony by lapisky is a document available to read on EtoBox.
This study presents a bioacoustic dataset aimed at detecting sudden queen loss in an Africanized honeybee colony, recorded over six days with the queen removed on the final day. The dataset consists of 5,400 samples with various audio features extracted to facilitate machine learning applications for beekeeping. The findings indicate that audio monitoring is a cost-effective and non-invasive method for assessing colony health, achieving high classification accuracy in preliminary tests.
- Author
- lapisky
- Language
- EN