Abstract
There are increasing opportunities to use smart farming technologies for improved management of farming systems. However, there is limited understanding of how the potential can be translated into effective use in the farming sector. Previous studies have highlighted the role that uncertainty plays in technological innovation systems. In this paper, we present the results of an international survey investigating the impact of innovation uncertainty on adoption of a smart farming technology, automatic milking systems (AMS). The objective of this study was to review adoption of automatic milking systems internationally and propose lessons for developing institutional knowledge and effective networks of practice in emerging smart farming innovation systems. We used an online survey of AMS experts globally and received 81 completed survey responses. The main countries represented were Canada, The Netherlands, USA, Denmark, and the UK. Respondents identified a range of adoption trends in their country and some of the reasons behind these adoption profiles were: suppression of uptake due to low milk prices, financial markets, and issues with early installations and perceptions of these issues by other farmers. In terms of the impact of uncertainty, technological uncertainty was historically an important issue around the early development of AMS, with decommissioning occurring in some cases due to perceived technology issues. Political uncertainty also impacted adoption, with implications of food safety regulations or rules around herd testing systems. Our study highlighted the potential impact of negative experiences associated with new technologies from farmers who struggle with the adaptation process as such occurrences may act to stall the uptake of smart farming technologies. If public policy organisations are to realise the desired impacts of smart farming technology, there needs to be greater focus on understanding where (and which) technologies can have an actual impact on farm as opposed to technologies that only create greater farmer distrust and uncertainty. Our study highlights that to reduce uncertainty with emerging smart technologies, greater public and private R&D collaboration is required to foster knowledge development and exchange.
Highlights
CONCEPTUAL FRAMEWORKThere are increasing opportunities to use smart farming technologies for improved management of farming systems (Shepherd et al, 2018)
We outline the key results, beginning with an overview of the survey participant demographics, their experience and opinions related to automatic milking systems (AMS), and the results of questions related to the uncertainty factors
The concept of perceived uncertainty in innovation systems was used to examine the adoption of automated milking systems, a smart farming technology
Summary
CONCEPTUAL FRAMEWORKThere are increasing opportunities to use smart farming technologies for improved management of farming systems (Shepherd et al, 2018). Potential management improvements are related to enhanced collection of data to manage animals, plants, and the wider farming environment (Eastwood et al, 2017a). The uptake of smarter farming approaches often represents more than a “plug and play” process for farmers (Jago et al, 2013). Successful use of these new tools depends on aspects of technology fitfor-purpose, on-farm adaptation, learning about data-driven decision-making, and social learning within a farmer’s network of practice (Eastwood et al, 2012; Rose et al, 2016; Higgins et al, 2017; Klerkx et al, 2019). To turn the opportunity of smarter farming into a reality on-farm, we need to better understand the wider issues affecting a farmer’s investment decision making (Rutten et al, 2018)
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