SegNeXt-RCMSCA: An improved SegNeXt network for detecting winter wheat lodging from UAS RGB images
Winter wheat lodging reduces wheat yield and poses a further risk to regional food security, emphasizing the need for timely and accurately monitoring of affected areas. Advances in Unmanned Aerial System (UAS) remote sensing and deep learning techniques provide new tools for detecting winter wheat...
Saved in:
| Main Authors: | Yahui Guo, Wei Zhou, Yongshuo H Fu, Fanghua Hao, Xuan Zhang, Le Xu, Ji Liu, Yuhong He |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-12-01
|
| Series: | Smart Agricultural Technology |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2772375525004617 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
ESSegNeXt: A Novel Building Extraction Framework Based on Generalized SamGeo and SegNeXt Models Using High-Resolution Remote Sensing Images
by: Qi Lu, et al.
Published: (2025-01-01) -
ViSwNeXtNet Deep Patch-Wise Ensemble of Vision Transformers and ConvNeXt for Robust Binary Histopathology Classification
by: Özgen Arslan Solmaz, et al.
Published: (2025-06-01) -
Citrus Disease Classification Model Based on Improved ConvNeXt
by: Jichi Yan, et al.
Published: (2024-01-01) -
Radar Waveform Recognition With ConvNeXt and Focal Loss
by: Liping Luo, et al.
Published: (2024-01-01) -
Individual Identification of Holstein Cows from Top-View RGB and Depth Images Based on Improved PointNet++ and ConvNeXt
by: Kaixuan Zhao, et al.
Published: (2025-03-01)