Correlation of yield and vegetation indices from unmanned aerial vehicle multispectral imagery in Thailand rice production systems
Abstract Unmanned aerial vehicles (UAVs) equipped with cameras are used for collecting vegetation indices (VIs) for health monitoring of field crops such as rice (Oryza sativa). This study evaluated the relationship of VIs derived from multispectral UAV images at different buffer zones around the sa...
Saved in:
| Main Authors: | Rattana Asawapaisankul, Wutthida Rattanapichai, Kannika Sajjaphan, Roongroj Pitakdantham, Raksak Sermsak, Vojtech Lukas, Karel Klem, Brenda Tubana |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2025-06-01
|
| Series: | Agrosystems, Geosciences & Environment |
| Online Access: | https://doi.org/10.1002/agg2.70107 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Deep Learning Method for Wetland Segmentation in Unmanned Aerial Vehicle Multispectral Imagery
by: Pakezhamu Nuradili, et al.
Published: (2024-12-01) -
Detection of small water bodies for vector control using deep learning on multispectral imagery from unmanned aerial vehicles
by: Phuc Linh Ngo, et al.
Published: (2025-07-01) -
A double-layer model for improving the estimation of wheat canopy nitrogen content from unmanned aerial vehicle multispectral imagery
by: Zhen-qi LIAO, et al.
Published: (2023-07-01) -
Justifying the Parameters for an Unmanned Aircraft Flight Missions of Multispectral Aerial Photography
by: R. K. Kurbanov, et al.
Published: (2022-10-01) -
Uncrewed Aerial Vehicle‐Based Multispectral Imagery for River Soil Monitoring
by: Michael H. Gardner, et al.
Published: (2025-03-01)