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

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cg.authorship.typesCGIAR and advanced research institute
cg.contributor.affiliationInternational Center for Tropical Agriculture
cg.contributor.affiliationUniversity of Salzburg
cg.contributor.programAcceleratorMultifunctional Landscapes
cg.contributor.programAcceleratorSustainable Animal and Aquatic Foods
cg.creator.identifierAndres Felipe Ruiz-Hurtado: 0000-0003-1293-8736
cg.creator.identifierJuliana Pérez Bolaños: 0009-0008-8076-724X
cg.creator.identifierDarwin Alexis Arrechea-Castillo: 0000-0002-2395-2181
cg.creator.identifierCIniro Costa Junior: 0000-0003-1854-2927
cg.creator.identifierJacobo Arango: 0000-0002-4828-9398
cg.creator.identifierJuan Andrés Cardoso Arango: 0000-0002-0252-4655
cg.identifier.doihttps://doi.org/10.1016/j.softx.2026.102568
cg.identifier.projectBIUSA (Bezos Earth Fund)-Using genetic diversity to capture carbon through deep root systems in tropical soils (Research and Capacity development)
cg.isijournalISI Journal
cg.issn2352-7110
cg.journalSoftwareX
cg.reviewStatusPeer Review
cg.subject.actionAreaGenetic Innovation
cg.subject.actionAreaResilient Agrifood Systems
cg.subject.alliancebiovciatINFORMATICS
cg.subject.alliancebiovciatLIVESTOCK
cg.subject.alliancebiovciatPLANT GENETIC RESOURCES
cg.subject.alliancebiovciatTREE CROPS
cg.subject.alliancebiovciatTROPICAL FORAGES
cg.subject.impactAreaClimate adaptation and mitigation
cg.subject.impactAreaEnvironmental health and biodiversity
cg.subject.sdgSDG 1 - No poverty
cg.subject.sdgSDG 2 - Zero hunger
cg.subject.sdgSDG 8 - Decent work and economic growth
cg.subject.sdgSDG 10 - Reduce inequalities
cg.subject.sdgSDG 13 - Climate action
cg.volume34
dc.contributor.authorRuiz-Hurtado, Andres Felipe
dc.contributor.authorPerez-Bolaños, Juliana
dc.contributor.authorArrechea-Castillo, Darwin Alexis
dc.contributor.authorMatiz-Rubio, Natalia
dc.contributor.authorCosta-Junior, Ciniro
dc.contributor.authorArango, Jacobo
dc.contributor.authorCardoso, Juan Andres
dc.date.accessioned2026-06-04T13:19:39Z
dc.identifier.urihttps://hdl.handle.net/10568/183192
dc.titleVersion 0.2.0 – TreeEyed: A QGIS plugin for tree monitoring in silvopastoral systems using state of the art AI modelsen
dcterms.abstractTreeEyed 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.en
dcterms.accessRightsOpen Access
dcterms.available2026-02-23
dcterms.bibliographicCitationRuiz-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: 2352-7110en
dcterms.extent102568
dcterms.issued2026-02-23
dcterms.languageen
dcterms.licenseCC-BY-4.0
dcterms.publisherElsevier BV
dcterms.subjectgeographical information systemsen
dcterms.subjectsistema de informaciÓn geogrÁficaen
dcterms.subjecttreesen
dcterms.subjectsilvopastoral systemsen
dcterms.subjectsoftware developmenten
dcterms.subjectremote sensingen
dcterms.subjectartificial intelligenceen
dcterms.subjectinteligencia artificialen
dcterms.subjectmonitoring systemsen
dcterms.subjectimageryen
dcterms.subjectcomputer visionen
dcterms.subjectsensoren
dcterms.subjectsistema silvopascícola-sistemas silvopastoralesen
dcterms.subjectÁrbol forestalen
dcterms.subjectvisión informática-visión por ordenadoren
dcterms.typeJournal Article

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