WeedSwin hierarchical vision transformer with SAM-2 for multi-stage weed detection and classification

WeedSwin hierarchical vision transformer with SAM-2 for multi-stage weed detection and classification

Abstract Weed detection and classification using computer vision and deep learning techniques have emerged as crucial tools for precision agriculture, offering automated solutions for sustainable farming practices. This study presents a comprehensive approach to weed identification across multiple g...

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Bibliographic Details
Main Authors: Taminul Islam, Toqi Tahamid Sarker, Khaled R. Ahmed, Cristiana Bernardi Rankrape, Karla Gage
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Weed detection
Weed classification
Weed growth stage
Sam2
Precision agriculture
Object detection
Online Access:https://doi.org/10.1038/s41598-025-05092-z
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https://doi.org/10.1038/s41598-025-05092-z

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