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

• Published in: Journal of dairy science Vol. 107; no. 8; pp. 5754 - 5778
• Main Authors: 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.
• Format: Journal Article
• Language: English
• Published: United States Elsevier Inc 01-08-2024
• Subjects: Animals; Cattle; dairy farmers; Dairying - methods; decision support tools; Farmers; Focus Groups; Ireland; precision livestock technology; responsible innovation; user-centered design; Ireland; responsible innovation; dairy farmers; decision support tools; user-centered design; precision livestock technology
• ISSN: 0022-0302; 1525-3198; 1525-3198
• DOI: 10.3168/jds.2024-24155

The list of standard abbreviations for JDS is available at adsa.org/jds-abbreviations-24. Nonstandard abbreviations are available in the Notes.
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.