Dataset for "Green Cloud Computing Architectures and Technologies for Smart and Sustainable Agriculture: A Systematic Literature Review, Taxonomy, and Research Agenda (2020–2025)"
Year: 2026
Type: review
Abstract: 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. This version harmonizes the study-level classifications with the finalized supplementary materials of the revised manuscript; the corpus remains unchanged at 47 included primary studies.
Author: Diouani, Sara
Institution: Mohammed V University
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
SDG: Climate action
Open Access status: green
OpenAlex ID: W7204167362
FWCI:
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