Abstract

Smart farming (also referred to as digital farming, digital agriculture and precision agriculture) has largely been driven by productivity and efficiency aims, but there is an increasing awareness of potential socio-ethical challenges. The responsible research and innovation (RRI) approach aims to address such challenges but has had limited application in smart farming contexts. Using smart dairying research and development (R&D) in New Zealand (NZ) as a case study, we examine the extent to which principles of RRI have been applied in NZ smart dairying development and assess the broader lessons for RRI application in smart farming. We draw on insights from: a review of research on dairy technology use in NZ; interviews with smart dairying stakeholders; and the application of an analytical framework based on RRI dimensions. We conclude that smart dairying R&D and innovation activities have focused on technology development and on-farm use without considering socio-ethical implications and have excluded certain actors such as citizens and consumers. This indicates that readiness to enact RRI in this context is not yet optimal, and future RRI efforts require leadership by government or dairy sector organisations to fully embed RRI principles in the guidelines for large R&D project design (what has also been referred to as ‘RRI maturity’). More broadly, enacting RRI in smart farming requires initial identification of RRI readiness in a given sector or country and devising a roadmap and coherent project portfolio to support capacity building for enacting RRI. Additionally, methods (such as RRI indicators) for operationalising RRI must be adapted to the context of the national or sectoral innovation system in which smart farming is being developed.

Highlights

  • Smart farming has been proposed to manage land, animals, and farm personnel more effectively (Tey and Brindal 2012; Wolfert et al 2017)

  • Using smart dairying research and development (R&D) in New Zealand (NZ) as a case study, we examine the extent to which principles of research and innovation (RRI) have been applied informant noted: The market size (in NZ) smart dairying development and assess the broader lessons for RRI application in smart farming

  • We explore socio-ethical challenges associated with smart dairying uncovered in our analysis and informant interviews, and we identify examples of RRI activities, using the indicators in the analytical framework (Table 1)

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Summary

Introduction

Smart farming ( referred to as digital farming, digital agriculture and precision agriculture) has been proposed to manage land, animals, and farm personnel more effectively (Tey and Brindal 2012; Wolfert et al 2017). Different skills will be required across the farming team to enact and adapt smart farming technologies (Eastwood et al 2017b; Higgins et al 2017), along with adapted advisory structures, potentially leading to displaced farm staff and service providers. Such changes could have a major impact on the cultural fabric of what it means to be a farmer (Burton et al 2012; Carolan 2016), with the independence of managing ‘your farm, your way’ replaced with a far more structured and scrutinised

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