Mind the Queue: A Case Study in Visualizing Heterogeneous Behavioral Patterns in Livestock Sensor Data Using Unsupervised Machine Learning Techniques

Sensor technologies allow ethologists to continuously monitor the behaviors of large numbers of animals over extended periods of time. This creates new opportunities to study livestock behavior in commercial settings, but also new methodological challenges. Densely sampled behavioral data from large...

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Detalles Bibliográficos
Autores principales: McVey, Catherine, Hsieh, Fushing, Manriquez, Diego, Pinedo, Pablo, Horback, Kristina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Veterinary Science
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7518149/
https://www.ncbi.nlm.nih.gov/pubmed/33134329
http://dx.doi.org/10.3389/fvets.2020.00523

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7518149/
https://www.ncbi.nlm.nih.gov/pubmed/33134329
http://dx.doi.org/10.3389/fvets.2020.00523

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