Object Detection Approach Using YOLOv5 For Plant Species Identification
In the modern era of agriculture and horticulture, biodiversity conservation requires plant species identification skills, and automatic detection is a challenging and interesting task. However, many factors often make some people mistaken in recognizing plant species that have unique and varied vis...
Saved in:
| Main Authors: | Billi Clinton, Amperawan Amperawan, Tresna Dewi |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Indonesian Institute of Sciences
2024-12-01
|
| Series: | Jurnal Elektronika dan Telekomunikasi |
| Subjects: | |
| Online Access: | https://www.jurnalet.com/jet/article/view/643 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Improving Tiny Object Detection in Aerial Images with Yolov5
by: Ahmed Sharba, et al.
Published: (2025-01-01) -
Lightweight object detection model for food freezer warehouses
by: Jiayu Yang, et al.
Published: (2025-01-01) -
Enhancing Facial Identification Systems with YOLOv8: A Cutting-Edge Approach
by: Huda S. Mithkhal, et al.
Published: (2024-09-01) -
Modelo basado en YOLOv8 para la detección automática de daños en tejados residenciales
by: Alisson Souza Silva, et al.
Published: (2025-01-01) -
Capacity Constraint Analysis Using Object Detection for Smart Manufacturing
by: Hafiz Mughees Ahmad, et al.
Published: (2024-10-01)