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PalmsCNN - Palm Tree Detection RPAs QGIS 4 compatibility
Not QGIS 4 ready Active
Not yet — the latest version declares max QGIS version 3.99.0, so it is not offered to QGIS 4 users.
This plug-in automatically detects 3 palm species in RGB imagery acquired with RPAs: aguaje (Mauritia flexuosa), huasai (Euterpe precatoria) and ungurahui (Oenocarpus bataua). For good results, the imagery must have a resolution of 4 cm/pixel or finer.
About
The palm detection plug-in uses Deep Learning models trained to automatically detect 3 palm species: aguaje (Mauritia flexuosa), huasai (Euterpe precatoria), ungurahui (Oenocarpus bataua) (Tagle et al. 2025, https://www.nature.com/articles/s41467-025-58358-5). This plug-in was developed within the projects "Supervisiones Optimizadas" and "New approaches to understand the state of biodiversity and contribute to social well-being: a study of the distribution and degradation of Mauritia flexuosa in the Amazon", through the collaboration of OSINFOR, IIAP, SERNANP, the University of Leeds, the University of Brescia and Wageningen University, with funding from the Newton Fund, FONDECYT, WWF, GIZ and USAID.
| Author | Susan Palacios, Rodolfo Cardenas, Stephano Torres, Ximena Tagle |
|---|---|
| Downloads | 1,220 |
| Latest version | 1.0.4 (experimental) |
| Last updated | 2026-09-09 (37 days ago) |
| Min QGIS | 3.40.0 |
| Max QGIS | 3.99.0 |
| QGIS 4 ready | No |
| Maintenance | Active |
| Categories | AI & machine learning, Remote sensing |
| Tags | remote sensing, onnx, machine learning, drone imagery, deep learning, environmental analysis, cnn, vegetation mapping, tropical forest, palm detection, rgb imagery, biodiversity monitoring, amazon rainforest, python |
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Maintenance: Active = updated within 1 year, Quiet = 1–3 years, Likely abandoned = over 3 years.