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Digital plant phenotyping platform

A focused lab for field data, imaging and AI.

Fourteen practical browser tools shaped around plant science workflows. Each workspace now shares one calm, responsive interface while keeping its specialist controls close at hand.

14
browser tools
5
workflow areas
BYOK
AI model choice

Explore the toolkit

Choose a workflow​

Search by task or filter by research stage. Every card opens a dedicated workspace.

14 tools

Data capture

Sensor Recorder

Capture phone orientation, location and solar geometry as timestamped field records, then export a research-ready CSV.

  • Device sensors
  • CSV export
  • Local workflow
Field planning

Land Surveyor

Build a field boundary from manual coordinates or device location and estimate area in square metres, hectares and mu.

  • Geolocation
  • Area estimate
  • SVG preview
Field planning

Irrigation Designer

Explore drip-line layouts, hydraulic constraints and pressure-loss estimates in an interactive preliminary design workspace.

  • Hydraulics
  • Scaled SVG
  • Local calculation
Field planning

Weather Downloader

Select a location and date range, retrieve NASA POWER agrometeorological data and preview or download clean CSV results.

  • NASA POWER
  • Map selection
  • CSV export
Field planning

CCO Mission Planner

Turn KML field boundaries into previewable DJI-compatible CCO wayline packages with configurable flight and camera settings.

  • KML / KMZ
  • Route preview
  • DJI waylines
Imaging & vision

Image Quantifier

Open the hosted analysis workspace to quantify biological samples from uploaded or captured images and export measurements.

  • Hosted runtime
  • Camera input
  • Measurements
Imaging & vision

Root Preprocessor

Prepare root scans with polygon regions, background cleanup, high-pass enhancement and precise manual corrections.

  • Canvas workflow
  • ROI editing
  • PNG export
Imaging & vision

Stereo Vision

Split and rectify a side-by-side camera stream, inspect stereo pairs and explore depth output with an explicit calibration profile.

  • Camera input
  • Stereo pair
  • Depth preview
Imaging & vision

Calibration Targets

Generate printable checkerboard and coded circular calibration targets with live dimensions, validation and PDF export.

  • Live preview
  • Print scale
  • PDF export
AI & research

AI Data Visualizer

Load a table, create deterministic local charts and optionally use your chosen AI provider to help interpret patterns.

  • Local chart data
  • BYOK AI
  • CSV / XLSX / JSON
AI & research

Journal Selector

Compare a manuscript abstract with configurable journal criteria using the AI provider and API key you choose.

  • BYOK AI
  • Custom criteria
  • CSV export
AI & research

AI Solver

Ask with text, camera or screen capture and send the prompt to the visual AI model and API provider you configure.

  • BYOK AI
  • Camera / screen
  • Preset prompts
Utilities

Encrypted Note

Encrypt a text note in the browser, share it through a URL fragment or keep a password-protected copy in local storage.

  • Web Crypto
  • Local storage
  • Text only
Utilities

Maze

A compact canvas experiment in procedural maze generation, keyboard and touch input, movement trails and local scores.

  • Canvas
  • Keyboard + touch
  • Local scores
Local-first where possibleFiles and calculations stay in the browser unless a tool clearly names an external service.
Your model, your keyAI tools use the provider and API credentials you configure for that session.
Research-aware outputScientific assumptions, external runtimes and preliminary estimates are labelled in context.

Citation

If you use Digital Plant Phenotyping Platform v25.0 or any of its applications in your research, please cite it as:

LiangchaoDeng. (2025). smiler488/smiler488.github.io: Digital Plant Phenotyping Platform v25.0 (v25.0.0). Zenodo.
https://doi.org/10.5281/zenodo.17544584
Click to copy APA citation.
DOI badge

BibTeX citation (Zotero → File → Import from Clipboard)

Click to copy BibTeX to clipboard for Zotero import.
@software{Deng2025_DPPP_v25,
  author       = {Deng, Liangchao},
  title        = {Digital Plant Phenotyping Platform (v25.0)},
  year         = {2025},
  publisher    = {Zenodo},
  doi          = {10.5281/zenodo.17544584},
  url          = {https://doi.org/10.5281/zenodo.17544584},
  note         = {[Computer software]}
}
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