Journal article

Farming smarter with big data: Insights from the case of Australia's national dairy herd milk recording scheme

Joanna E Newton, Ruth Nettle, Jennie E Pryce



Digitalization and the use of Smart Farming Technologies are considered a major opportunity for the future of agriculture. However, realisation of full benefits is constrained by: (1) farmers' interest in and use of big data to improve farm decision making; (2) issues of data sovereignty and trust between providers and users of data and technology; (3) institutional arrangements associated with the governance of data platforms. This paper examines the case of Australia's dairy herd milk recording system, arguably one of agriculture's first cases of ‘big data’ use, which collects, analyses and uses farm-level data (milk production, lactation and breeding records) to provide individual cow and..

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University of Melbourne Researchers


Funding Acknowledgements

This research was completed as part of the ImProving Herds Project. ImProving Herds is funded by the Gardiner Dairy Foundation (Melbourne, Australia) and Dairy Australia (Melbourne, Australia) and led by Agriculture Victoria (Victoria, Australia) with collaborative support from DataGene Ltd (Melbourne, Australia), Holstein Australia (Melbourne, Australia) and the National Herd Improvement Association of Australia (Melbourne, Australia). We also acknowledge the important contributions of participating herd test organisations and case study farms.