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Adoption of smart farm networks

A translational process to inform digital agricultural technologies

Bibliographic Data

ID12150210
AuthorsBarituka Bekee (0000-0002-9267-1025, University of Vermont, corresponding author), Michelle S Segovia (0000-0001-5298-5612, University of Delaware), Corinne Valdivia (0000-0001-7094-4910, University of Missouri)
Year2024
Volume41
Issue4
Pages1573-1590
Publication date2024-04-05
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueAgriculture and Human Values (JOURNAL)
Journal identifiersISSN: 0889-048X • E-ISSN: 1572-8366
PublisherSpringer Nature (Netherlands) (PUBLISHER • NL)
DOI10.1007/s10460-024-10566-3
OpenAlexW4393993576
LanguageEN
Citations received3
References cited73

Due to natural phenomena like global warming and climate change, agricultural production is increasingly faced with threats that transcend farm boundaries. Management practices at the landscape or community level are often required to adequately respond to these new challenges (e.g., pest migration). Such decision-making at a community or beyond-farm level—i.e., practices that are jointly developed by farmers within a community—can be aided by computing and communications technology. In this study, we employ a translational research process to examine the social and behavioral drivers of adoption of smart and connected farm networks among commodity crop farmers in the United States. We implement focus groups and questionnaires to bring to the fore views on the use of digital technologies in collaborative contexts. We find that participating farmers are concerned with several issues about the potential features of the network (e.g., the ability to ensure data validity while maintaining data privacy) and the nature of their interactions with the various stakeholders involved in the network management. The participatory approach we adopt helps provide insights into the process of developing technologies that are both actionable and trusted by potential end users

Agriculture · Business · Economics · Environmental planning · Environmental resource management · Geography · Process (computing · Computer Science · Digital Platforms and Economics · Organic Food and Agriculture · Technology Adoption and User Behaviour

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Unique citing works3
Citations per year3
Citation span2025 - 2026 (2)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 3

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