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Development of a predictive model to identify the day of lambing in extensive sheep systems using autonomous Global Navigation Satellite System (GNSS)

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Title
Development of a predictive model to identify the day of lambing in extensive sheep systems using autonomous Global Navigation Satellite System (GNSS)
Content partner
FigShare
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FigShare
Description

The aim of this project was to develop a model capable of predicting day of lambing from GNSS data. A field trial was conducted in New Zealand over a two-week period from September to October 2017. Forty ewes were fitted with GNSS tracking collars, recording at three-minute intervals. Animals were visually observed to record birth events. Of the 40 ewes, 25 lambed during the experimental period. A heuristic model was developed to predict the day of lambing by classifying ewes as either 'non-l...

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Other
Date created
30 Mar, 2022
Creator
Eloise Fogarty / G Cronin / David Swain / L Moraes / Mark Trotter
URL
https://figshare.com/articles/conference_contribution/Development_of_a_predictive_model_to_identi...
Related subjects
Behaviour monitoring / GNSS / Movement metrics / Parturition / Sheep / Spatio-temporal / Animal Management / Animal management

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