Cross-Modal Feature Fusion for Field Weed Mapping Using RGB and Near-Infrared Imagery

Cross-Modal Feature Fusion for Field Weed Mapping Using RGB and Near-Infrared Imagery

The accurate mapping of weeds in agricultural fields is essential for effective weed control and enhanced crop productivity. Moving beyond the limitations of RGB imagery alone, this study presents a cross-modal feature fusion network (CMFNet) designed for precise weed mapping by integrating RGB and...

Full description

Saved in:
Bibliographic Details
Main Authors: Xijian Fan, Chunlei Ge, Xubing Yang, Weice Wang
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Agriculture
Subjects:
weed mapping
multi-modal fusion
self-attention
semantic segmentation
Online Access:https://www.mdpi.com/2077-0472/14/12/2331
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://www.mdpi.com/2077-0472/14/12/2331

Similar Items