Enhancing palm precision agriculture: An approach based on deep learning and UAVs for efficient palm tree detection
The palm sector plays a critical role in achieving the Sustainable Development Goals (SDGs). Accurate identification and counting of palm trees are vital for estimating yields, managing orchards, and planning future planting. We are currently investigating deep-learning-based object detection algori...
Saved in:
Main Authors: | Yosra Hajjaji, Wadii Boulila, Imed Riadh Farah, Anis Koubaa |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2025-03-01
|
Series: | Ecological Informatics |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S1574954124004941 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Lightweight object detection model for food freezer warehouses
by: Jiayu Yang, et al.
Published: (2025-01-01) -
LEAF-YOLO: Lightweight Edge-Real-Time Small Object Detection on Aerial Imagery
by: Van Quang Nghiem, et al.
Published: (2025-03-01) -
Performance Comparison of Cherry Tomato Ripeness Detection Using Multiple YOLO Models
by: Dayeon Yang, et al.
Published: (2024-12-01) -
Edge computing for detection of ship and ship port from remote sensing images using YOLO
by: Vasavi Sanikommu, et al.
Published: (2025-02-01) -
Implementasi You Look Only Once (Yolo) Untuk Manajemen Parkir Di PT. Royal Dparagon Land
by: paulus harsadi, et al.
Published: (2024-12-01)