Robots and transformations of work in farm: a systematic review of the literature and a research agenda
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2022
- ISIDORE Id: 10670/1.e7affa...
- hal: hal-03711829
- doi: 10.1007/s13593-022-00796-2
- WOS: 000819403000001
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info:eu-repo/semantics/altIdentifier/doi/10.1007/s13593-022-00796-2
info:eu-repo/semantics/OpenAccess
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Work, Method of Industry (Psychology) Method of workCiter ce document
Théo Martin et al., « Robots and transformations of work in farm: a systematic review of the literature and a research agenda », HAL SHS (Sciences de l’Homme et de la Société), ID : 10.1007/s13593-022-00796-2
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Résumé
Robots are heralded as part of a new revolution in agriculture. The agricultural robot’s capacity to reduce working time or improve working conditions is often advanced as a major contribution to sustainable agriculture. But the transformations of work appear to be more complex. Here we review the transformations of work subsequent to adoption of agricultural robots on the farm. We carry out a systematic review of literature using a multidisciplinary analytical framework of transformations of work. We consider four dimensions of work: 1) farm structure and the labor market; 2) work organization; 3) meaning of work; and 4) technical-economic performances. Given that the deployment of robots in agriculture is still in its early stages, most of the studies concern the automated milking system (AMS). The transformations of agricultural work represent an emerging topic dominated by a technical and economic vision of work. The major points are as follows: Concerning farm structures, we find no evidence of a relationship between robotization and a certain farm size. Concerning the labor market, there is a risk of skill- and wage-related segmentation and exclusion. The AMS is an example of an in-depth re-organization of work with a decrease in the physical workload but which is concomitant with a new mental workload of monitoring alarms. Concerning the meaning of work with AMS, the changes in the animal-human relationship lead to the possibility of new identities and new self-perceptions by farmers and workers. There is no evidence to support a reduction in working time when an AMS is installed. Finally, a synthesis of the results allows us to propose a research agenda that can better orient future research to understand the diversity of transformations of work resulting from the adoption of robots in agriculture.
