Data governance in smart farming:A systematic review of challenges and gapsOA
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.
Radwan Rouzky;Abdolhossein Sarrafzadeh;Evelyn Sowells-Boone;Hannaneh B.Pasandi;Gregory Goins
Applied Science and Technology Department,North Carolina Agricultural and Technical State University,1601 E.Market Street St.,Greensboro,NC 27411,USAComputer Science&Technology Department,North Carolina Agricultural and Technical State University,1601 E.Market Street St.,Greensboro,NC 27411,USAComputer Science&Technology Department,North Carolina Agricultural and Technical State University,1601 E.Market Street St.,Greensboro,NC 27411,USAEECS Department,University of California Berkeley,Berkeley,CA 94720,USACollege of Agriculture&Environmental Sciences,North Carolina Agricultural and Technical State University,1601 E.Market Street St.,Greensboro,NC 27411,USA
农业科技
Smart farmingData governanceSecurityPrivacyData sharingCybersecurity
《Information Processing in Agriculture》 2026 (2)
P.303-317,15
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