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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)

conference contribution
posted on 30.03.2022, 02:31 by Eloise FogartyEloise Fogarty, G Cronin, David SwainDavid Swain, L Moraes, Mark TrotterMark Trotter
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-lambing' or 'lambing' on each day of the study based on her speed of movement, mean distance to peers and extent of spatial landscape. Predictions were based on the series moving over or under a given threshold, determined through estimated least-square means from the linear mixed-effects statistical analysis. The overall accuracy of the model was 83.0%, with a sensitivity of 63.6% and specificity of 84.1%. The results of this project highlight the potential for GNSS tracking for post-hoc detection of lambing events. This could be used to inform graziers on the status of individual animals and their flock as a whole, particularly in extensive farming systems where close observation may be limited. Further work should be conducted on larger datasets to improve reliability of results.

Funding

Category 3 - Industry and Other Research Income

History

Editor

O'Brien B; Henessy D; Shalloo L

Start Page

84

End Page

87

Number of Pages

4

Start Date

26/08/2019

Finish Date

29/08/2019

ISBN-13

9781841706542

Location

Cork, Ireland

Publisher

The Organising Committee of the 9th European Conference on Precision Livestock Farming (ECPLF)

Place of Publication

Online

Peer Reviewed

Yes

Open Access

No

External Author Affiliations

Ohio State University, USA; University of Sydney

Author Research Institute

Institute for Future Farming Systems

Era Eligible

Yes

Name of Conference

9th European Conference on Precision Livestock Farming

Parent Title

Precision Livestock Farming '19: Papers Presented at the 9th European Conference on Precision Livestock Farming

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