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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...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2023
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| Materias: | |
| 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 |