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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Elsevier BV
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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.
Palabras clave
geographical information systems, sistema de informaciÓn geogrÁfica, trees, silvopastoral systems, software development, remote sensing, artificial intelligence, inteligencia artificial, monitoring systems, imagery, computer vision, sensor, sistema silvopascícola-sistemas silvopastorales, Árbol forestal, visión informática-visión por ordenador
