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PhenoHUB: A Mobile Toolkit for Digital Plant Phenotyping

website·Indexed 29 days ago

https://smiler488.github.io

A toolkit and collection of applications for digital plant phenotyping, featuring tools for UAV 3D crop phenotyping, root image preprocessing, and biological sample quantification. The platform includes an App Lab with utilities such as the Calibration Targets Generator, NASA POWER Weather Downloader, and AI Data Visualizer, alongside guides for reproducible research and local AI agent deployment.

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What's inside PhenoHUB

  1. Overview of Botanical Extract AI Pro

    Botanical Extract AI Pro is a tool for AI-assisted background isolation in plant photographs. It uses multimodal image models to reduce background clutter (e.g., replacing backgrounds with white) without project-specific model training ("zero-shot"). It is intended for rapid visual cleanup and prototyping, not as a validated scientific segmentation tool for quantitative phenotyping, as generative models may alter plant geometry, colors, or thin structures.

  2. Overview of the Skill Creator & Publisher tool

    The Skill Creator & Publisher is a utility that automates the repetitive process of setting up folders, configuration lists, helper scripts, and publishing tasks for AI agent skills. It generates standard skeleton configurations—such as SKILL.md, skill.json, template scripts, and marketplace lists—and utilizes the GitHub CLI to publish these as modular, reusable assets. It supports mainstream coding agents including CodeBuddy, Claude Code, Cursor, Cline, and Windsurf.

  3. Overview of CCO Waylines Builder

    CCO Waylines Builder is a tool that reads a KML polygon and generates a rotated grid of circular route centers. It builds a snake-ordered sequence of camera-facing waypoints and exports them as KML, WPML, and KMZ files. It is primarily used to create flight plans that can be validated in DJI software before aircraft operation.

  4. Overview of the Multi-Modal Crop Phenotyping Platform (MCTP)

    MCTP is a desktop data-processing workspace that provides a unified entry point, interaction pattern, and export convention for four distinct data modalities: Hyperspectral, LiDAR, RGB, and Thermal. Note that these modalities are processed as separate tools and are not automatically registered, fused, or interpreted by a single model.

  5. Overview of AI Journal Selector

    AI Journal Selector is a tool that compares a manuscript abstract and submission preferences against a configurable 26-field journal evaluation schema. It generates candidate journal cards, a full comparison table, and a CSV export.

    Important Warning: The app is not a live journal database. It does not query JCR, CAS, Scopus, Crossref, or publisher systems. Model-generated rankings, fees, acceptance rates, and review times may be missing, outdated, or fabricated. Users must verify all candidates via authoritative sources before submitting.

  6. Overview of Stereo Vision Workspace capabilities

    The Stereo Vision Workspace processes side-by-side camera streams to separate eye views and apply rectification profiles via OpenCV. It produces exploratory grayscale depth previews. Note that the depth canvas is a per-frame visualization and not calibrated raw depth data; it does not preserve millimeter values and should not be used for dimensional metrology or comparisons between frames.

  7. Overview of Research Maze functionality

    Research Maze is a local Canvas-based experiment that generates a 21 × 21 maze. It tracks player movement, times the run, and maintains a local leaderboard of the top ten results stored within the browser. The maze is generated using a randomized recursive-backtracker algorithm starting from grid position (1, 1), with an exit located on the right edge.

  8. Overview of Irrigation Layout Designer

    The Irrigation Layout Designer is an interactive screening workspace used for preliminary design of rectangular drip-irrigation blocks. It generates a scaled SVG schematic and provides estimates for simultaneous flow, mainline and submain velocity, Hazen–Williams head loss, pressure margin, and a pressure-variation-based uniformity indicator.

    Important: This tool is for preliminary design only. It simplifies emitter behavior, lateral losses, fittings, transients, and terrain. Final layouts must be confirmed with field measurements, manufacturer data, and a qualified irrigation engineer.

  9. Overview of Multimodal AI Solver

    The Multimodal AI Solver is a tool that sends text questions, camera frames, or selected screen regions to a configured AI provider and model. It features 18 predefined image-analysis prompt templates and a Custom Mode. A 'Local demo' mode is available to test the interface without making network requests, though it does not perform actual image analysis.

  10. Overview of the PPTX Translation Skill

    The PPTX Translation Skill is an AI-assisted utility for translating PowerPoint decks between English and Chinese (zh2en and en2zh). It is specifically designed for academic and research presentations to prevent layout breakage caused by text expansion. The tool translates text blocks at the paragraph level (preserving text runs), automatically cleans target punctuation, replaces fonts intelligently, and performs quality checks for formatting consistency.

  11. Overview of Device Sensor Recorder

    The Device Sensor Recorder captures individual timestamped browser sensor records. Each record can include a sample ID, phone orientation (alpha, beta, gamma), device location (latitude, longitude, altitude), and approximate solar elevation and azimuth. Data is stored in the browser tab's memory and can be exported as a CSV file. Note that the app records raw orientation angles and does not perform calibration or certify measurement accuracy.

  12. Overview of MCTP Multi-Modal Crop Phenotyping Workspace

    MCTP is a desktop workspace designed for crop-phenotyping workflows. It supports multi-modal data integration, specifically hyperspectral, LiDAR, RGB, and thermal data, and implements a design that maintains clear boundaries between the shared user interface and cross-modal fusion processes.