Detection of Apple Trees in Orchard Using Monocular Camera
This study proposes an object detector for apple trees as a first step in developing agricultural digital twins. An original dataset of orchard images was created and used to train Single Shot MultiBox Detector (SSD) and You Only Look Once (YOLO) models. Performance was evaluated using mean Average...
Saved in:
| Main Authors: | Stephanie Nix, Airi Sato, Hirokazu Madokoro, Satoshi Yamamoto, Yo Nishimura, Kazuhito Sato |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-03-01
|
| Series: | Agriculture |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2077-0472/15/5/564 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Digitization of Medical Device Displays Using Deep Learning Models: A Comparative Study
by: Pedro Ferreira, et al.
Published: (2025-05-01) -
Real time intelligent garbage monitoring and efficient collection using Yolov8 and Yolov5 deep learning models for environmental sustainability
by: Mohammed M. Abo-Zahhad, et al.
Published: (2025-05-01) -
Determination of Optimal Dataset Characteristics for Improving YOLO Performance in Agricultural Object Detection
by: Jisu Song, et al.
Published: (2025-03-01) -
Improving Tiny Object Detection in Aerial Images with Yolov5
by: Ahmed Sharba, et al.
Published: (2025-01-01) -
Intelligent Recognition and Parameter Estimation of Radar Active Jamming Based on Oriented Object Detection
by: Jiawei Lu, et al.
Published: (2025-07-01)