This website presents the research paper "A Data-Driven Image Analysis Pipeline for Plant Phenotyping in Greenhouse Environments".
website/
├── index.html # Main HTML file
├── css/ # CSS framework files (Skeleton CSS)
│ ├── normalize.css
│ └── skeleton.css
├── js/ # JavaScript files (if needed)
│ ├── jquery.min.js
│ └── footable.js
└── images/ # Image assets
├── greenhouse_system.png
├── pipeline_overview.png
├── dataset_summary.png
├── segmentation_results.png
├── feature_extraction.png
├── arxiv.jpg
├── dataset.png
├── code.png
├── logo.png
└── webicon.jpg
You'll need to add the following images to the images/ directory:
- greenhouse_system.png - Image of the Texas A&M AgriLife Precision Automated Phenotyping Greenhouse system
- pipeline_overview.png - Overview diagram of the image processing pipeline (from Figure 2 in your paper)
- dataset_summary.png - Table or visualization showing the PGP v2 dataset summary
- segmentation_results.png - Results showing segmentation performance (from Figure 3 in your paper)
- feature_extraction.png - Visualization of feature extraction results (from Figure 5 in your paper)
- arxiv.jpg - ArXiv logo (for paper link)
- dataset.png - Dataset icon/logo
- code.png - Code/GitHub icon
- logo.png - Texas A&M or lab logo
- webicon.jpg - Favicon for the website
- Update Links: Edit the links in the "Materials" section to point to your actual paper, dataset, and code repositories
- Add Images: Replace placeholder image references with your actual figures from the paper
- Citation: Update the citation section with the actual publication venue and year
- Authors: Verify all author names and affiliations are correct
This is a static website that can be deployed to:
- GitHub Pages
- Any static hosting service
- Your institution's web server
Simply upload all files maintaining the directory structure.