Advances in the Automated Identification of Individual Tree Species: A Systematic Review of Drone- and AI-Based Methods in Forest Environments
The classification and identification of individual tree species in forest environments are critical for biodiversity conservation, sustainable forestry management, and ecological monitoring. Recent advances in drone technology and artificial intelligence have enabled new methodologies for detecting...
Saved in:
| Main Authors: | Ricardo Abreu-Dias, Juan M. Santos-Gago, Fernando Martín-Rodríguez, Luis M. Álvarez-Sabucedo |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-05-01
|
| Series: | Technologies |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2227-7080/13/5/187 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Tree Species Classification by Multi-Season Collected UAV Imagery in a Mixed Cool-Temperate Mountain Forest
by: Ram Avtar, et al.
Published: (2024-10-01) -
Deep Learning-Based Autonomous Navigation of 5G Drones in Unknown and Dynamic Environments
by: Theyab Alotaibi, et al.
Published: (2025-03-01) -
Formation of a heterogeneous group of UAVS with a reasonable number of false and real drones
by: Volodymyr Prymirenko, et al.
Published: (2024-08-01) -
Authentication Techniques in Internet of Drones (IoD): Taxonomy, Open Challenges and Future Directions
by: Alanoud F. Aldweesh, et al.
Published: (2025-05-01) -
On the Flying Accuracy of Miniature Drones in Indoor Environments
by: Nusin Akram, et al.
Published: (2025-05-01)