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A Living Lab approach to understanding dairy farmers' technology and data needs to improve herd health: Focus groups from 6 European countries

Doidge, C.; Ånestad, L. M.; Burrell, A.; Frössling, J.; Palczynski, L.; Pardon, B.; Veldhuis, A.; Bokma, J.; Carmo, L. P.; Hopp, P.; Guelbenzu-Gonzalo, M.; Meunier, N. V.; Ordell, A.; Santman-Berends, I.; van Schaik, G.; Kaler, J.

Authors

L. M. Ånestad

A. Burrell

J. Frössling

L. Palczynski

B. Pardon

A. Veldhuis

J. Bokma

L. P. Carmo

P. Hopp

M. Guelbenzu-Gonzalo

N. V. Meunier

A. Ordell

I. Santman-Berends

G. van Schaik

JASMEET KALER JASMEET.KALER@NOTTINGHAM.AC.UK
Professor of Epidemiology & Precision Livestock Informatics



Abstract

For successful development and adoption of technology on dairy farms, farmers need to be included in the innovation process. However, the design of agricultural technologies usually takes a top-down approach with little involvement of end-users at the early stages. Living Labs offer a methodology that involve end-users throughout the development process and emphasize the importance of understanding users' needs. Currently, exploration of dairy farmers' technology needs has been limited to specific types of technology (e.g., smartphone apps) and adult cattle. The aim of this study was to use a Living Lab approach to identify dairy farmers' data and technology needs to improve herd health and inform innovation development. We conducted 18 focus groups with a total of 80 dairy farmers from Belgium, Ireland, the Netherlands, Norway, Sweden, and the United Kingdom. Data were analyzed using Template Analysis, and 6 themes were generated representing the fundamental needs of autonomy, comfort, competence, community and relatedness, purpose, and security. Farmers favored technologies that provided them with convenience, facilitated their knowledge and understanding of problems on farm, and allowed them to be self-reliant. Issues with data sharing and accessibility and usability of software were barriers to technology use. Furthermore, farmers were facing problems around recruitment and management of labor and needed ways to reduce stress. Controlling aspects of the barn environment, such as air quality, hygiene, and stocking density, were particular concerns in relation to youngstock management. Overall, the findings suggest that developers of farm technologies may want to include farmers in the design process to ensure a positive user experience and improve accessibility. The needs identified in this study can be used as a framework when designing farm technologies to strengthen need satisfaction and reduce any potential harm toward needs.

Citation

Doidge, C., Ånestad, L. M., Burrell, A., Frössling, J., Palczynski, L., Pardon, B., Veldhuis, A., Bokma, J., Carmo, L. P., Hopp, P., Guelbenzu-Gonzalo, M., Meunier, N. V., Ordell, A., Santman-Berends, I., van Schaik, G., & Kaler, J. (2024). A Living Lab approach to understanding dairy farmers' technology and data needs to improve herd health: Focus groups from 6 European countries. Journal of Dairy Science, 107(8), 5754-5778. https://doi.org/10.3168/jds.2024-24155

Journal Article Type Article
Acceptance Date Feb 18, 2024
Online Publication Date Mar 13, 2024
Publication Date 2024-08
Deposit Date Apr 12, 2024
Publicly Available Date Apr 12, 2024
Journal Journal of Dairy Science
Print ISSN 0022-0302
Electronic ISSN 1525-3198
Publisher American Dairy Science Association
Peer Reviewed Peer Reviewed
Volume 107
Issue 8
Pages 5754-5778
DOI https://doi.org/10.3168/jds.2024-24155
Keywords precision livestock technology, dairy farmers, user centred design, decision support tools, responsible innovation
Public URL https://nottingham-repository.worktribe.com/output/33282753
Publisher URL https://www.journalofdairyscience.org/article/S0022-0302(24)00550-2/fulltext
Additional Information This article is maintained by: Elsevier; Article Title: A living lab approach to understanding dairy farmers' needs of technologies and data to improve herd health: Focus groups from 6 European countries; Journal Title: Journal of Dairy Science; CrossRef DOI link to publisher maintained version: https://doi.org/10.3168/jds.2024-24155; Content Type: article; Copyright: © 2024 The Author(s).

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