MFCC-based descriptor for bee queen presence detection

作者：

Highlights：

• A compact MFCC-based descriptor to discriminate the presence or not of queen.

• A descriptor that outperforms most state-of-the-art for queen bee presence.

• A proposal that supports mobile applications for non-intrusive hive health diagnosis.

摘要

•A compact MFCC-based descriptor to discriminate the presence or not of queen.•A descriptor that outperforms most state-of-the-art for queen bee presence.•A proposal that supports mobile applications for non-intrusive hive health diagnosis.

论文关键词：Audio signal processing,Feature selection,Honey bee,Bioacoustics,Beehive monitoring

论文评审过程：Received 11 August 2021, Revised 24 January 2022, Accepted 28 March 2022, Available online 9 April 2022, Version of Record 21 April 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.117104