Empowering Sustainable Vertical Farming Through IoT and AI-Driven Technologies: A technical Blueprint with insights from the UK and India
Description
This repository contains the code and data provenance documentation supporting the review article "Empowering Sustainable Vertical Farming Through IoT and AI-Driven Technologies: A Technical Blueprint with Insights from the UK and India" . As a systematic PRISMA-based literature review, the study does not involve original experimental or primary data collection; instead, all quantitative values used in the manuscript's tables and figures were extracted and synthesised from previously published peer-reviewed literature, industry reports, and government/institutional publications through a four-stage process of extraction, cross-validation, standardisation, and weighted averaging, with full source citations provided in the manuscript. This repository includes the Jupyter notebook (vf_final_images.ipynb) used to generate the manuscript's illustrative figures (urban population/arable land/VF adoption trends, soilless cultivation technology performance comparisons, the multi-layer IoT architecture diagram, and the UK–India comparative climate, market, and consumer analysis charts) from these literature-derived values, along with a README documenting data provenance, methodology, and reproduction instructions.
Files
Steps to reproduce
Install Python 3.9+ and the required packages: pip install matplotlib numpy pandas seaborn graphviz cartopy (Graphviz also requires the system-level Graphviz binary to be installed separately for diagram rendering). Open vf_final_images.ipynb in Jupyter Notebook or JupyterLab. Run the cells sequentially from top to bottom. Each markdown header labels which manuscript figure(s) the following code cell reproduces: Cell 1 → Figure 2; Cells 3–4 → Figures 6, 7, 8; Cell 5 → Figure 9; Cell 7 → Figures 16–19. The underlying values plotted in each cell were manually compiled from the peer-reviewed literature, industry reports, and government publications cited in the manuscript (see manuscript Section II.E.4, "Referred Data Sources," and the corresponding in-text citations for each figure/table). Running all cells reproduces the manuscript's illustrative charts and diagrams as inline output.
Institutions
- KIIT UniversityOdisha, Bhubaneswar
- University of GreenwichEngland, London