Classification of broiler behaviours using triaxial accelerometer and machine learning

Classification of broiler behaviours using triaxial accelerometer and machine learning

Understanding broiler behaviours provides important implications for animal well-being and farm management. The objectives of this study were to classify specific broiler behaviours by analysing data from wearable accelerometers using two machine learning models, K-Nearest Neighbour (KNN) and Suppor...

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Bibliographic Details
Main Authors: X. Yang, Y. Zhao, G.M. Street, Y. Huang, S.D. Filip To, J.L. Purswell
Format: Article
Language:English
Published: Elsevier 2021-07-01
Series:Animal
Subjects:
Behaviour recognition
Poultry
Sliding window
Supervised learning
Wearable sensor
Online Access:http://www.sciencedirect.com/science/article/pii/S1751731121001117

Internet

http://www.sciencedirect.com/science/article/pii/S1751731121001117

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