Systematic review dataset synthesizes evidence across 47 primary studies on green cloud computing architectures, highlighting technical frameworks for sustainable agriculture.
This dataset accompanies the systematic literature review entitled “Green Cloud Computing Architectures and Technologies for Smart and Sustainable Agriculture: A Systematic Literature Review, Taxonomy, and Research Agenda (2020–2025).” It provides the structured study-level evidence matrix underlying the review and synthesis of the 47 included primary studies. The dataset reports bibliographic information, DOI, eligibility status, computing architecture, cloud service model, enabling technologies, application domain, sustainability focus, validation level, and methodological quality-assessment results. The data are provided in XLSX and CSV formats to facilitate transparency, reproducibility, verification, and reuse. A README file documents the dataset structure, variables, provenance, and reuse information.
No takes yet. Share an insight, caveat, or question.
Sara Diouani (2026) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: