Comparative Study of Machine Learning Models for Bee Colony Acoustic Pattern Classification on Low Computational Resources

In precision beekeeping, the automatic recognition of colony states to assess the health status of bee colonies with dedicated hardware is an important challenge for researchers, and the use of machine learning (ML) models to predict acoustic patterns has increased attention. In this work, five clas...

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Detalles Bibliográficos
Autores principales: Robles-Guerrero, Antonio, Saucedo-Anaya, Tonatiuh, Guerrero-Mendez, Carlos A., Gómez-Jiménez, Salvador, Navarro-Solís, David J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9824169/
https://www.ncbi.nlm.nih.gov/pubmed/36617059
http://dx.doi.org/10.3390/s23010460

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9824169/
https://www.ncbi.nlm.nih.gov/pubmed/36617059
http://dx.doi.org/10.3390/s23010460

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