Deep learning based classification of sheep behaviour from accelerometer data with imbalance

Deep learning based classification of sheep behaviour from accelerometer data with imbalance

Classification of sheep behaviour from a sequence of tri-axial accelerometer data has the potential to enhance sheep management. Sheep behaviour is inherently imbalanced (e.g., more ruminating than walking) resulting in underperforming classification for the minority activities which hold importance...

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Bibliographic Details
Main Authors: Kirk E. Turner, Andrew Thompson, Ian Harris, Mark Ferguson, Ferdous Sohel
Format: Article
Language:English
Published: Elsevier 2023-09-01
Series:Information Processing in Agriculture
Subjects:
Sheep behaviour classification
Data synthesis
Class imbalance
Grazing sheep
Online Access:http://www.sciencedirect.com/science/article/pii/S2214317322000415

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