Object Detection in High-Resolution UAV Aerial Remote Sensing Images of Blueberry Canopy Fruits
Blueberries, as one of the more economically rewarding fruits in the fruit industry, play a significant role in fruit detection during their growing season, which is crucial for orchard farmers’ later harvesting and yield prediction. Due to the small size and dense growth of blueberry fruits, manual...
Saved in:
| Main Authors: | Yun Zhao, Yang Li, Xing Xu |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-10-01
|
| Series: | Agriculture |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2077-0472/14/10/1842 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Estimation of Strawberry Canopy Volume in Unmanned Aerial Vehicle RGB Imagery Using an Object Detection-Based Convolutional Neural Network
by: Min-Seok Gang, et al.
Published: (2024-10-01) -
AAMS-YOLO: enhanced farmland parcel detection for high-resolution remote sensing images
by: Binyao Wang, et al.
Published: (2024-12-01) -
YOLO: A Competitive Analysis of Modern Object Detection Algorithms for Road Defects Detection Using Drone Images
by: Amit Hasan Sadhin, et al.
Published: (2024-06-01) -
RSW-YOLO: A Vehicle Detection Model for Urban UAV Remote Sensing Images
by: Hao Wang, et al.
Published: (2025-07-01) -
A Refined and Efficient CNN Algorithm for Remote Sensing Object Detection
by: Bingqi Liu, et al.
Published: (2024-11-01)