root_analysis

AI tool for root segmentation and analysis in tropical grasses

Overview

The root_analysis is the initial version of an AI-driven application for segmenting and analyzing root morphology in underground minirhizotron non-destructive root images of tropical grasses. It is designed to provide accurate and efficient root analysis for researchers. This tool is available as a Gradio web application on Hugging Face, with options for local execution.

Features

• Root segmentation: segment underground root systems.
• Web application: Deployed on Hugging Face for quick online access.
• Local execution: Run the application offline.

Getting Started

1. Online Usage (Gradio Web App)

Access the deployed web app on Hugging Face: Root Analysis Web App

2. Local Execution

Prerequisites

• Python 3.12 or higher
• Git

Dependencies

This project uses models and code from https://github.com/wtwtwt0330/SegRoot

Steps

1. Clone the repository:

   git clone https://github.com/afruizh/root_analysis
   cd root_analysis/webapp

2. Install dependencies:

   pip install -r requirements.txt

3. Run the tool locally:

   python main.py

4. Open your browser and navigate to http://localhost:7860 to access the app.

License

This project is licensed under the Apache-2.0 license.

Authors

Tropical Forages Team

Alliance Bioversity International & CIAT