The Internet of Things enhancing animal welfare and farm operational efficiency

Michie, C., Andonovic, I., Davison, C., Hamilton, A., Tachtatzis, C., Jonsson, N. , Duthie, C.-A., Bowen, J. and Gilroy, M. (2020) The Internet of Things enhancing animal welfare and farm operational efficiency. Journal of Dairy Research, 87(S1), pp. 20-27. (doi: 10.1017/S0022029920000680)

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Abstract

The growth in wirelessly enabled sensor network technologies has enabled the low cost deployment of sensor platforms with applications in a range of sectors and communities. In the agricultural domain such sensors have been the foundation for the creation of decision support tools that enhance farm operational efficiency. This Research Reflection illustrates how these advances are assisting dairy farmers to optimise performance and illustrates where emerging sensor technology can offer additional benefits. One of the early applications for sensor technology at an individual animal level was the accurate identification of cattle entering into heat (oestrus) to increase the rate of successful pregnancies and thus optimise milk yield per animal. This was achieved through the use of activity monitoring collars and leg tags. Additional information relating to the behaviour of the cattle, namely the time spent eating and ruminating, was subsequently derived from collars giving further insights of economic value into the wellbeing of the animal, thus an enhanced range of welfare related services have been provisioned. The integration of the information from neck-mounted collars with the compositional analysis data of milk measured at a robotic milking station facilitates the early diagnosis of specific illnesses such as mastitis. The combination of different data streams also serves to eliminate the generation of false alarms, improving the decision making capability. The principle of integrating more data streams from deployed on-farm systems, for example, with feed composition data measured at the point of delivery using instrumented feeding wagons, supports the optimisation of feeding strategies and identification of the most productive animals. Optimised feeding strategies reduce operational costs and minimise waste whilst ensuring high welfare standards. These IoT-inspired solutions, made possible through Internet-enabled cloud data exchange, have the potential to make a major impact within farming practices. This paper gives illustrative examples and considers where new sensor technology from the automotive industry may also have a role.

Item Type:Articles
Additional Information:This article is based upon work from COST Action FA1308 DairyCare, supported by COST (European Cooperation in Science and Technology, www.cost.eu). COST is a funding agency for research and innovation networks. COST Actions help connect research initiatives across Europe and enable scientists to grow their ideas by sharing them with their peers. This boosts their research, career and innovation. The authors wish to acknowledge the support of Innovate UK 10283 CowHealth and Innovate UK/BBSRC BB/M027333/1 PrecisionBeef.
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Jonsson, Professor Nicholas
Authors: Michie, C., Andonovic, I., Davison, C., Hamilton, A., Tachtatzis, C., Jonsson, N., Duthie, C.-A., Bowen, J., and Gilroy, M.
College/School:College of Medical Veterinary and Life Sciences > Institute of Biodiversity Animal Health and Comparative Medicine
Journal Name:Journal of Dairy Research
Publisher:Cambridge University Press
ISSN:0022-0299
ISSN (Online):1469-7629
Published Online:03 August 2020
Copyright Holders:Copyright © The Author(s), 2020
First Published:First published in Journal of Dairy Research 87(S1):20-27
Publisher Policy:Reproduced under a Creative Commons license

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