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Care in dairy farming with automatic milking systems, identified using an Activity Theory lens
National Competence Centre for Advisory Services, Department of People and Society, Swedish University of Agricultural Sciences, Skara, Sweden.
University of Skövde, School of Informatics. University of Skövde, Informatics Research Environment. (Interaction Lab (ILAB))ORCID iD: 0000-0003-0946-7531
2021 (English)In: Journal of Rural Studies, ISSN 0743-0167, E-ISSN 1873-1392, Vol. 87, p. 386-403Article in journal (Refereed) Published
Abstract [en]

Context

In Sweden, 34% of herds in official statistics 2021 (77% of the cows) have an automatic milking system (AMS) and keep 19% of the dairy cows.

Objective

This study should be considered in relation to the rapid increase of digitalisation in agriculture. It aimed at investigating Swedish farmers’ experiences and reflections in dairy farming concerning AMS use from a care perspective, based on two research questions: 1) What kinds of success factors and management challenges do farmers experience with AMS usage? and 2) How do farmers view their work environment in this kind of system?

Methods

A mixed method approach was performed, using method triangulation through a questionnaire, interviews, and field visits. The Activity Theory (AT) was used as a theoretical lens to consider care practice in the dairy farming as a learning system.

Results and conclusions

Participating dairy farmers were found to be in a continuous learning process on different levels in their system, from detailed problems with an individual cow or the herd to the whole dairy system. Implementation of AMS required learning in order to manage, and thus care for, a system comprising of animals, technology, and humans, to increase business viability. In successful AMS use, willingness to learn, adapt to the local situation, and continually improve practice, or care as a patterning of activities, appeared to be the most important factors. With more people involved, differentiations were possible, which in turn accentuated the need for more trained staff who can perform more complicated tasks. The findings indicated high importance of experience and a ‘stockperson's eye’, in combination with tool-mediated seeing using data from the robot, in developing enhanced professional vision and good care. A good stockperson had broad competence combining a stockperson's eye with experience with robot data. One of the greatest challenges for dairy farms was finding a good stockperson as staff or advisor. Increased flexibility in work and better physical health were important driving forces for implementing AMS, while handling alarms was mentally stressful and gave different perspectives on AMS vulnerability. Overall, the analysis of the collected data showed that AMS had brought major, primarily positive, changes in daily work and increased work satisfaction for most farmers, with a clear majority of the respondents feeling good in their work situation and enjoying their work.

Significance

Application of AT in studying AMS from a care perspective, represents a shift from traditional research that normally addresses technological inventions, to studying farmers’ socio-technical system. The AT lens revealed the work practices in performing care, as a patterning of activities accomplished by a tinkering learning process, in the rich and messy matrix of humans, cows, and technology.

Place, publisher, year, edition, pages
Elsevier, 2021. Vol. 87, p. 386-403
Keywords [en]
Milking robot, Experiential learning, Socio-technical system, Care, Activity theory, Agriculture 5.0, Work environment
National Category
Agricultural Biotechnology Other Engineering and Technologies
Research subject
INF302 Autonomous Intelligent Systems; Interaction Lab (ILAB)
Identifiers
URN: urn:nbn:se:his:diva-20640DOI: 10.1016/j.jrurstud.2021.09.006ISI: 000708572200001Scopus ID: 2-s2.0-85116074314OAI: oai:DiVA.org:his-20640DiVA, id: diva2:1602135
Funder
The Royal Swedish Academy of Agriculture and Forestry (KSLA), SLh 2018-0008
Note

CC BY 4.0

Available online 1 October 2021

Corresponding author: christina.lundstrom@slu.se (C. Lundström)

Available from: 2021-10-11 Created: 2021-10-11 Last updated: 2022-04-11Bibliographically approved

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Lindblom, Jessica

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Citation style
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Output format
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