Accuracy vs. Energy: An Assessment of Bee Object Inference in Videos from On-Hive Video Loggers with YOLOv3, YOLOv4-Tiny, and YOLOv7-Tiny

A continuing trend in precision apiculture is to use computer vision methods to quantify characteristics of bee traffic in managed colonies at the hive’s entrance. Since traffic at the hive’s entrance is a contributing factor to the hive’s productivity and health, we assessed the potential of three...

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Detalles Bibliográficos
Autores principales: Kulyukin, Vladimir A., Kulyukin, Aleksey V.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10422429/
https://www.ncbi.nlm.nih.gov/pubmed/37571576
http://dx.doi.org/10.3390/s23156791

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10422429/
https://www.ncbi.nlm.nih.gov/pubmed/37571576
http://dx.doi.org/10.3390/s23156791

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