Smart farming technologies and changes to farm work: New insights into on-farm experiences
通过访谈英国和澳大利亚17位农民，研究智慧农业技术如何改变农场工作，发现减少工作时间的好处常被数据工作抵消，且不同规模农场应对方式不同。
The intersect between technologies and the future of work is a key topic for both practitioner and scholarly communities. In this paper, we explore this intersect within agriculture by examining the changes to work for farmers implementing smart farming technologies (SFTs) in the United Kingdom (UK) and Australia. We interviewed 17 farmers across the UK and Australia from horticulture, dairy and mixed farming (arable and livestock) enterprises who were implementing diverse SFTs. Interview questions explored farmers' experiences in implementing SFTs with respect to any changes to work for themselves and their employees. Based on an interdisciplinary conceptual framework we developed from the literature for analysing farm work, we applied qualitative data analysis methods to examine the changes to work. We found the benefits from reduced work-duration were commonly counteracted by time spent in computer set-up and data work, with subsequent negative effects for the cognitive and affective dimensions of workload. The organisation of farm work influenced the type of skills and knowledge required to implement SFTs, with larger and corporate farms outsourcing these requirements to advisers, while smaller-medium sized farms used SFTs to augment their existing knowledge and skills, enabling employers to do more with their own time and enhancing employee engagement in work. We found more similarities than differences in work changes between countries. The interrelationships and feedback loops we have identified between the different aspects of work bring a novel perspective to technological transitions in agriculture and represent an important orientation point for researchers and technology developers to better anticipate work effects from different types of SFTs. • Implementing smart farming technologies brings diverse changes to farm work • Reduced work duration and workload can be counteracted by time spent in data work • Larger farms tend to outsource data work challenges to advisers • SFT implementation augments and supports farm employee knowledge and skills • Technology development activities need to factor-in work effects more explicitly