# aradeepopsis

> versatile, fully open-source pipeline to extract phenotypic measurements from plant images

**Wikidata**: [Q120965995](https://www.wikidata.org/wiki/Q120965995)  
**Source**: https://4ort.xyz/entity/aradeepopsis

## Summary
Aradeepopsis is a versatile, fully open-source pipeline designed to extract phenotypic measurements from plant images, enabling efficient analysis in plant phenomics. It provides a customizable workflow for researchers, leveraging semantic segmentation to assess leaf states. Released under a free software license, it promotes transparency and collaboration in scientific research.

## Key Facts
- **Latest Version**: 2.0 (released May 12, 2022)
- **Initial Release**: Version 1.0 (April 2, 2020)
- **Repository**: Hosted on GitHub at [https://github.com/Gregor-Mendel-Institute/aradeepopsis](https://github.com/Gregor-Mendel-Institute/aradeepopsis)
- **License**: Free software (users can run, modify, and distribute the software)
- **Methodology**: Uses semantic segmentation of leaf states for top-view plant phenomics
- **Downloads**: Available via GitHub Releases ([https://github.com/Gregor-Mendel-Institute/aradeepopsis/releases](https://github.com/Gregor-Mendel-Institute/aradeepopsis/releases))

## FAQs
### Q: What is aradeepopsis used for?
A: Aradeepopsis is used to extract phenotypic measurements from plant images, supporting research in plant biology and phenomics through automated analysis.

### Q: Is aradeepopsis free to use?
A: Yes, it is free software, allowing users to run, study, modify, and distribute the tool under its open-source license.

### Q: How do I access aradeepopsis?
A: The software is available for download on GitHub, with releases and source code hosted at [https://github.com/Gregor-Mendel-Institute/aradeepopsis](https://github.com/Gregor-Mendel-Institute/aradeepopsis).

## Why It Matters
Aradeepopsis addresses a critical need in plant science for efficient, reproducible phenotypic analysis. By automating the extraction of measurements from plant images, it reduces manual labor and increases data consistency, which is essential for large-scale studies. As an open-source tool, it fosters collaboration and customization, enabling researchers to adapt the pipeline to diverse experimental setups. This transparency and flexibility support advancements in understanding plant growth, stress responses, and genetic traits, contributing to agricultural innovation and basic scientific discovery.

## Notable For
- **Open-Source Workflow**: Fully transparent and customizable, unlike proprietary alternatives.
- **Semantic Segmentation**: Employs advanced imaging techniques to analyze leaf states in top-view plant photographs.
- **Iterative Development**: Regularly updated with improvements, such as the transition from version 1.0 (2020) to 2.0 (2022), reflecting community input and evolving research needs.

## Body
### Versions and Releases
- **1.0**: Initial release on April 2, 2020, establishing core functionality.
- **1.1–1.3.1**: Incremental updates (May 2020–May 2021) addressing bugs and adding features.
- **2.0**: Major release on May 12, 2022, marking significant enhancements to the pipeline.

### Technical Details
- **Methodology**: Implements semantic segmentation to identify and measure leaf characteristics from top-view images, as detailed in the paper *"ᴀʀᴀᴅᴇᴇᴘᴏᴘsɪs, an Automated Workflow for Top-View Plant Phenomics using Semantic Segmentation of Leaf States"*.
- **Compatibility**: Designed for integration into plant phenomics workflows, with potential applications in both laboratory and field research.

### Availability
- **Source Code**: Hosted on GitHub under the Gregor-Mendel-Institute repository.
- **Downloads**: Compiled releases and documentation are accessible via the GitHub Releases page.

## References

1. [Release 1.0. 2020](https://github.com/Gregor-Mendel-Institute/aradeepopsis/releases/tag/v1.0)
2. [Release 1.1. 2020](https://github.com/Gregor-Mendel-Institute/aradeepopsis/releases/tag/v1.1)
3. [Release 1.2. 2020](https://github.com/Gregor-Mendel-Institute/aradeepopsis/releases/tag/v1.2)
4. [Release 1.2.1. 2020](https://github.com/Gregor-Mendel-Institute/aradeepopsis/releases/tag/v1.2.1)
5. [Release 1.3. 2021](https://github.com/Gregor-Mendel-Institute/aradeepopsis/releases/tag/v1.3)
6. [Release 1.3.1. 2021](https://github.com/Gregor-Mendel-Institute/aradeepopsis/releases/tag/v1.3.1)
7. [Release 2.0. 2022](https://github.com/Gregor-Mendel-Institute/aradeepopsis/releases/tag/v2.0)