SWRD–YOLO: A Lightweight Instance Segmentation Model for Estimating Rice Lodging Degree in UAV Remote Sensing Images with Real-Time Edge Deployment

Rice lodging severely affects crop growth, yield, and mechanized harvesting efficiency. The accurate detection and quantification of lodging areas are crucial for precision agriculture and timely field management. However, Unmanned Aerial Vehicle (UAV)-based lodging detection faces challenges such a...

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Bibliographic Details

Published in:	Agriculture
Main Authors:	Chunyou Guo, Feng Tan
Format:	Article
Language:	English
Published:	MDPI AG 2025-07-01
Subjects:	rice lodging severity estimation UAV-based precision agriculture agricultural image segmentation lightweight deep learning edge AI deployment efficient inference
Online Access:	https://www.mdpi.com/2077-0472/15/15/1570