Journal Article

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

author(s)

Ruiz-Hurtado, Andres Felipe

themes
  • Crops for nutrition and health
  • Multifunctional landscapes
original file download
full 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

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.