Work

Data governance in smart farming: A systematic review of challenges and gaps

Year: 2025

Type: review

Abstract: Smart Farming (SF) has emerged as a transformative approach in modern agriculture, leveraging advanced technologies to meet escalating global food demands. However, the extensive use of digital devices generates vast amounts of data, necessitating robust governance frameworks to ensure secure, ethical, and efficient management. This systematic review evaluates SF data governance literature from 2018 to 2024, analyzing 32 studies that collectively highlight critical challenges and opportunities. Key findings include the absence of standardized governance frameworks, limited exploration of security mechanisms, and insufficient farmer’s awareness regarding data privacy and security. Our novel taxonomy categorizes SF governance into data security, privacy, and sharing frameworks, offering actionable insights for stakeholders. By identifying gaps—such as the need for transparent governance systems and comprehensive regulatory policies—this paper provides a roadmap for advancing ethical and effective data governance in agriculture.

Source: Information Processing in Agriculture

DOI: 10.1016/j.inpa.2025.11.006

Authors: Radwan Rouzky, Abdolhossein Sarrafzadeh, Evelyn Sowells-Boone, Hannaneh B. Pasandi, Gregory Goins

Institutions: North Carolina Agricultural and Technical State University, University of California, Berkeley

Language: English

Topic: Smart Agriculture and AI

Subfield: Plant Science

Field: Agricultural and Biological Sciences

Domain: Life Sciences

SDG: Zero hunger

Open Access status: gold

Estimated APC paid: $2,000