Version 0.2.0 – TreeEyed: A QGIS plugin for tree monitoring in silvopastoral systems using state of the art AI models

Citation

Ruiz-Hurtado, A.F.; Perez-Bolaños, J.; Arrechea-Castillo, D.A.; Matiz-Rubio, N.; Costa-Junior, C.; Arango, J.; Cardoso, J.A. (2026) Version 0.2.0 – TreeEyed: A QGIS plugin for tree monitoring in silvopastoral systems using state of the art AI models. SoftwareX 34: 102568. ISSN: 2352-7110

Abstract/Description

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.

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Author ORCID identifiers

Andres Felipe Ruiz-Hurtado  
Juliana Pérez Bolaños  
Darwin Alexis Arrechea-Castillo  
CIniro Costa Junior  
Jacobo Arango  
Juan Andrés Cardoso Arango  

Contributes to SDGs

SDG 1 - No povertySDG 2 - Zero hungerSDG 8 - Decent work and economic growthSDG 10 - Reduce inequalitiesSDG 13 - Climate action