Digital and Smart Technologies in Greenhouse Production: A Bibliometric Review of Global Trends and Türkiye's Strategic Position

This dataset contains the reproducible analysis code accompanying the review article "Digital and Smart Technologies in Greenhouse Production: A Bibliometric Review of Global Trends and Türkiye's Strategic Position" (submitted to Smart Agricultural Technology). The Python pipeline computes all bibliometric indicators and generates every figure reported in the paper from a Scopus export: annual scientific production, most relevant sources, most cited documents, country production and international collaboration, most productive authors, co-authorship networks, author-keyword co-occurrence, thematic mapping, trend topics, and reference co-citation. The corpus was retrieved from Scopus (2 February 2026) using a Title-Abstract-Keyword Boolean query combining greenhouse/controlled-environment terms with digital and smart-technology terms, restricted to English-language articles and reviews published between 2010 and 2025 (2,437 documents). The exact query is documented in the included README. The raw Scopus records are NOT included, because Scopus's terms of use do not permit their redistribution. To reproduce the analysis, users export their own result set from Scopus (CSV with full record information, including references) and place it in the repository root as scopus_export.csv, then run the numbered scripts in order as described in the README. Requirements: Python 3.10+, with pandas, numpy, matplotlib, and networkx. Code is released under the MIT License.本数据集包含随已投稿至《智能农业技术（Smart Agricultural Technology）》的综述文章《温室生产中的数字与智能技术：全球趋势与土耳其战略地位的文献计量综述》（Digital and Smart Technologies in Greenhouse Production: A Bibliometric Review of Global Trends and Türkiye's Strategic Position）一同发布的可复现分析代码。 本Python工作流（Python pipeline）可基于Scopus导出文件计算所有文献计量指标（bibliometric indicators），并生成论文中报道的全部图表，涵盖年度科研产出、核心来源出版物、高被引文献、国家科研产出与国际合作格局、高产作者、合著网络、作者关键词共现关系、主题映射、热点主题以及参考文献共被引分析等内容。 本数据集的文献语料采集自Scopus（检索日期：2026年2月2日），检索策略为标题-摘要-关键词布尔查询，将温室/环境调控相关术语与数字及智能技术相关术语组合，限定检索范围为2010至2025年间发表的英文文章及综述文献，共计2437篇。具体检索策略详见附带的README文件。 由于Scopus使用条款禁止对其原始记录进行二次分发，因此本数据集未包含原始Scopus记录。若需复现分析流程，用户需自行从Scopus导出包含完整记录（含参考文献）的CSV格式结果集，并将其以scopus_export.csv为名放置于代码仓库根目录，随后按照README文件中的说明依次运行带有序号的脚本即可。 运行环境要求：Python 3.10及以上版本，需依赖pandas、numpy、matplotlib与networkx库。本代码采用MIT许可证发布。