TreeEyed: A QGIS plugin for tree monitoring in silvopastoral systems using state of the art AI models
Tree monitoring is a challenging task due to the labour-intensive and time-consuming data collection methods required. We present TreeEyed, a QGIS plugin designed to facilitate the monitoring of trees using remote sensing RGB imagery and artificial intelligence models. The plugin offers several tool...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-02-01
|
| Series: | SoftwareX |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S235271102500038X |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832576469239332864 |
|---|---|
| author | Andres Felipe Ruiz-Hurtado Juliana Perez Bolaños Darwin Alexis Arrechea-Castillo Juan Andres Cardoso |
| author_facet | Andres Felipe Ruiz-Hurtado Juliana Perez Bolaños Darwin Alexis Arrechea-Castillo Juan Andres Cardoso |
| author_sort | Andres Felipe Ruiz-Hurtado |
| collection | DOAJ |
| description | Tree monitoring is a challenging task due to the labour-intensive and time-consuming data collection methods required. We present TreeEyed, a QGIS plugin designed to facilitate the monitoring of trees using remote sensing RGB imagery and artificial intelligence models. The plugin offers several tools including tree inference process for tree segmentation and detection. This tool was implemented to facilitate the manipulation and processing of Geographical Information System (GIS) data from different sources, allowing multi resolution, variable extent, and generating results in a standard GIS format (georeferenced raster and vector). Additional options like postprocessing, dataset generation, and data validation are also incorporated. |
| format | Article |
| id | doaj-art-4c8ecfe852024902b10316340e28abe0 |
| institution | Kabale University |
| issn | 2352-7110 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Elsevier |
| record_format | Article |
| series | SoftwareX |
| spelling | doaj-art-4c8ecfe852024902b10316340e28abe02025-01-31T05:11:55ZengElsevierSoftwareX2352-71102025-02-0129102071TreeEyed: A QGIS plugin for tree monitoring in silvopastoral systems using state of the art AI modelsAndres Felipe Ruiz-Hurtado0Juliana Perez Bolaños1Darwin Alexis Arrechea-Castillo2Juan Andres Cardoso3International Center for Tropical Agriculture (CIAT). A.A. 6713 Cali, Colombia; Corresponding author.International Center for Tropical Agriculture (CIAT). A.A. 6713 Cali, Colombia; UNIGIS Salzburg – University of Salzburg, Schillerstraße 30, 5020 Salzburg, Salzburg, AustriaInternational Center for Tropical Agriculture (CIAT). A.A. 6713 Cali, ColombiaInternational Center for Tropical Agriculture (CIAT). A.A. 6713 Cali, ColombiaTree monitoring is a challenging task due to the labour-intensive and time-consuming data collection methods required. We present TreeEyed, a QGIS plugin designed to facilitate the monitoring of trees using remote sensing RGB imagery and artificial intelligence models. The plugin offers several tools including tree inference process for tree segmentation and detection. This tool was implemented to facilitate the manipulation and processing of Geographical Information System (GIS) data from different sources, allowing multi resolution, variable extent, and generating results in a standard GIS format (georeferenced raster and vector). Additional options like postprocessing, dataset generation, and data validation are also incorporated.http://www.sciencedirect.com/science/article/pii/S235271102500038XTree monitoringRemote sensingComputer visionDeep learningQGISSilvopastoral systems |
| spellingShingle | Andres Felipe Ruiz-Hurtado Juliana Perez Bolaños Darwin Alexis Arrechea-Castillo Juan Andres Cardoso TreeEyed: A QGIS plugin for tree monitoring in silvopastoral systems using state of the art AI models SoftwareX Tree monitoring Remote sensing Computer vision Deep learning QGIS Silvopastoral systems |
| title | TreeEyed: A QGIS plugin for tree monitoring in silvopastoral systems using state of the art AI models |
| title_full | TreeEyed: A QGIS plugin for tree monitoring in silvopastoral systems using state of the art AI models |
| title_fullStr | TreeEyed: A QGIS plugin for tree monitoring in silvopastoral systems using state of the art AI models |
| title_full_unstemmed | TreeEyed: A QGIS plugin for tree monitoring in silvopastoral systems using state of the art AI models |
| title_short | TreeEyed: A QGIS plugin for tree monitoring in silvopastoral systems using state of the art AI models |
| title_sort | treeeyed a qgis plugin for tree monitoring in silvopastoral systems using state of the art ai models |
| topic | Tree monitoring Remote sensing Computer vision Deep learning QGIS Silvopastoral systems |
| url | http://www.sciencedirect.com/science/article/pii/S235271102500038X |
| work_keys_str_mv | AT andresfeliperuizhurtado treeeyedaqgispluginfortreemonitoringinsilvopastoralsystemsusingstateoftheartaimodels AT julianaperezbolanos treeeyedaqgispluginfortreemonitoringinsilvopastoralsystemsusingstateoftheartaimodels AT darwinalexisarrecheacastillo treeeyedaqgispluginfortreemonitoringinsilvopastoralsystemsusingstateoftheartaimodels AT juanandrescardoso treeeyedaqgispluginfortreemonitoringinsilvopastoralsystemsusingstateoftheartaimodels |