Fusion of UAV-Acquired Visible Images and Multispectral Data by Applying Machine-Learning Methods in Crop Classification
The sustainable development of agriculture is closely related to the adoption of precision agriculture techniques, and accurate crop classification is a fundamental aspect of this approach. This study explores the application of machine learning techniques to crop classification by integrating RGB i...
Saved in:
| Main Authors: | Zuojun Zheng, Jianghao Yuan, Wei Yao, Paul Kwan, Hongxun Yao, Qingzhi Liu, Leifeng Guo |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-11-01
|
| Series: | Agronomy |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2073-4395/14/11/2670 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Unified estimation of rice canopy leaf area index over multiple periods based on UAV multispectral imagery and deep learning
by: Haixia Li, et al.
Published: (2025-05-01) -
Assessment of UAV-Based Deep Learning for Corn Crop Analysis in Midwest Brazil
by: José Augusto Correa Martins, et al.
Published: (2024-11-01) -
Monitoring <i>Moringa oleifera</i> Lam. in the Mediterranean Area Using Unmanned Aerial Vehicles (UAVs) and Leaf Powder Production for Food Fortification
by: Carlo Greco, et al.
Published: (2025-06-01) -
UAV-based multispectral image analytics and machine learning for predicting crop nitrogen in rice
by: Suyog Balasaheb Khose, et al.
Published: (2024-01-01) -
A Semi-Automated RGB-Based Method for Wildlife Crop Damage Detection Using QGIS-Integrated UAV Workflow
by: Sebastian Banaszek, et al.
Published: (2025-07-01)