TY - JOUR
T1 - What are the priority research questions for digital agriculture?
AU - Ingram, Julie
AU - Maye, Damian
AU - Bailye, Clive
AU - Barnes, Andrew
AU - Bear, Christopher
AU - Bell, Matthew
AU - Cutress, David
AU - Davies, Lynfa
AU - de Boon, Auvikki
AU - Dinnie, Liz
AU - Gairdner, Julian
AU - Hafferty, Caitlin
AU - Holloway, Lewis
AU - Kindred, Daniel
AU - Kirby, David
AU - Leake, Bethany
AU - Manning, Louise
AU - Marchant, Ben
AU - Morse, Aimee
AU - Oxley, Simon
AU - Phillips, Martin
AU - Regan, Áine
AU - Rial-Lovera, Karen
AU - Rose, David C.
AU - Schillings, Juliette
AU - Williams, Fiona
AU - Williams, Hefin
AU - Wilson, Lucy
N1 - Funding Information:
The authors wish to thank the UK Department of Food, Environment and Rural Affairs (Defra) for funding this research. We also wish to thank all contributors to the prioritisation exercise.
Publisher Copyright:
© 2022
PY - 2022/3/31
Y1 - 2022/3/31
N2 - There is a need to identify key existing and emerging issues relevant to digitalisation in agricultural production that would benefit from a stronger evidence base and help steer policy formulation. To address this, a prioritisation exercise was undertaken to identify priority research questions concerning digital agriculture in the UK, but with a view to also informing international contexts. The prioritisation exercise uses an established and effective participatory methodology for capturing and ordering a wide range of views. The method involves identifying a large number of participants and eliciting an initial long list of research questions which is reduced and refined in subsequent voting stages to select the top priorities by theme. Participants were selected using purposive sampling and snowballing to represent a number of sectors, organisations, companies and disciplines across the UK. They were each invited to submit up to 10 questions according to certain criteria, and this resulted in 195 questions from a range of 40 participants (largely from England with some representation from Scotland and Wales). Preliminary analysis and clustering of these questions through iterative analysis identified seven themes as follows: data governance; data management; enabling use of data and technologies; understanding benefits and uptake of data and technologies; optimising data and technologies for performance; impacts of digital agriculture; and new collaborative arrangements. Subsequent stages of voting, using an online ranking exercise and a participant workshop for in-depth discussion, refined the questions to a total of 27 priority research questions categorised into 15 gold, 7 silver and 5 bronze, across the 7 themes. The questions significantly enrich and extend previous clustering and agenda setting using literature sources, and provide a range of new perspectives. The analysis highlights the interconnectedness of themes and questions, and proposes two nexus for future research: the different dimensions of value, and the social and institutional arrangements to support digitalisation in agriculture. These emphasise the importance of interdisciplinarity and transdisciplinarity, and the need to tackle the binary nature of current analytical frames. These new insights are equally relevant to contexts outside the UK. This paper highlights the need for research actions to inform policy, not only instrumentally by strengthening the evidence base, but also conceptually, to prompt new thinking. To our knowledge this methodology has not been previously applied to this topic.
AB - There is a need to identify key existing and emerging issues relevant to digitalisation in agricultural production that would benefit from a stronger evidence base and help steer policy formulation. To address this, a prioritisation exercise was undertaken to identify priority research questions concerning digital agriculture in the UK, but with a view to also informing international contexts. The prioritisation exercise uses an established and effective participatory methodology for capturing and ordering a wide range of views. The method involves identifying a large number of participants and eliciting an initial long list of research questions which is reduced and refined in subsequent voting stages to select the top priorities by theme. Participants were selected using purposive sampling and snowballing to represent a number of sectors, organisations, companies and disciplines across the UK. They were each invited to submit up to 10 questions according to certain criteria, and this resulted in 195 questions from a range of 40 participants (largely from England with some representation from Scotland and Wales). Preliminary analysis and clustering of these questions through iterative analysis identified seven themes as follows: data governance; data management; enabling use of data and technologies; understanding benefits and uptake of data and technologies; optimising data and technologies for performance; impacts of digital agriculture; and new collaborative arrangements. Subsequent stages of voting, using an online ranking exercise and a participant workshop for in-depth discussion, refined the questions to a total of 27 priority research questions categorised into 15 gold, 7 silver and 5 bronze, across the 7 themes. The questions significantly enrich and extend previous clustering and agenda setting using literature sources, and provide a range of new perspectives. The analysis highlights the interconnectedness of themes and questions, and proposes two nexus for future research: the different dimensions of value, and the social and institutional arrangements to support digitalisation in agriculture. These emphasise the importance of interdisciplinarity and transdisciplinarity, and the need to tackle the binary nature of current analytical frames. These new insights are equally relevant to contexts outside the UK. This paper highlights the need for research actions to inform policy, not only instrumentally by strengthening the evidence base, but also conceptually, to prompt new thinking. To our knowledge this methodology has not been previously applied to this topic.
KW - Digital agriculture
KW - Digitalisation
KW - Research priorities
KW - Smart farming
KW - Stakeholders
KW - UK
UR - http://www.scopus.com/inward/record.url?scp=85122491971&partnerID=8YFLogxK
U2 - 10.1016/j.landusepol.2021.105962
DO - 10.1016/j.landusepol.2021.105962
M3 - Article
AN - SCOPUS:85122491971
SN - 0264-8377
VL - 114
JO - Land Use Policy
JF - Land Use Policy
M1 - 105962
ER -