Predicting livestock behaviour using accelerometers: A systematic review of processing techniques for ruminant behaviour prediction from raw accelerometer data

•Several important ruminant behaviours can be predicted from portable accelerometers.•Rarely observed and transitional behaviours are more difficult to predict.•An obstacle to commercial deployment arises from a lack of model generalisation.•Large datasets with a wide range of variability ensure a b...

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Bibliographic Details
Published in	Computers and electronics in agriculture Vol. 192; p. 106610
Main Authors	Riaboff, L., Shalloo, L., Smeaton, A.F., Couvreur, S., Madouasse, A., Keane, M.T.
Format	Journal Article
Language	English
Published	Amsterdam Elsevier B.V 01.01.2022 Elsevier BV Elsevier
Subjects	Accelerometer sensor Accelerometers agriculture animal behavior Behavior Behaviour Data collection electronics Farming Life Sciences Literature reviews Livestock Methodology Performance prediction Prediction Processing techniques Raw data Ruminant ruminants Sensors systematic review Accelerometer sensor RS CNN Methodology LR DL LDA LOOV GPS SVM QDA DT MLP PNN RNN TFD FDR SEML SM ANFIS MI WS Raw data Processing techniques LSTM Behaviour USB Accz Prediction Accy MT Accx HMM RFID kNN Ruminant PCA TD XGB RSS SML NB OBDA RF UML FD VeDBA Ada
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ISSN	0168-1699 1872-7107
DOI	10.1016/j.compag.2021.106610

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