Version 0.2.0 – TreeEyed: A QGIS plugin for tree monitoring in silvopastoral systems using state of the art AI models
TreeEyed was developed to facilitate tree monitoring in silvopastoral systems as an open source and easy to use QGIS Plugin that leverages state of the art AI models for tree detection, tree segmentation and canopy height estimation. Over six thousand downloads from >20 different countries from the QGIS plugin repository demonstrate great interest and user feedback has been useful to identify different areas of improvement. This software update to version 0.2.0 improves the processing and usability of the plugin in terms of model integration capabilities, tiling approach and cache system, user interface improvements with the addition of QGIS processing algorithm, and features for developers.
Authors
- Natalia Matiz-Rubio
- Darwin Alexis Arrechea-Castillo (ORCID: https://orcid.org/0000-0002-2395-2181)
- Andrés Felipe Ruiz-Hurtado (ORCID: https://orcid.org/0000-0003-1293-8736)
- Juliana Perez-Bolaños
- Jacobo Arango
- Ciniro Costa Junior
- Juan Andres Cardoso
Institutions
- University of Cauca (CO)
- University of Salzburg (AT)
- Unfallkrankenhaus Salzburg (AT)
- Pädagogische Hochschule Salzburg (AT)
- International Center for Tropical Agriculture (CO)
Publication Details
- Journal
- SoftwareX
- Published
- 2026-02-23
- DOI
- https://doi.org/10.1016/j.softx.2026.102568
- Primary Topic
- Agroforestry and silvopastoral systems
- Type
- article
- Field-Weighted Citation Impact
- 0.00