Sorghum crops classification and segmentation using shifted window transformer neural network and localization based on (YOLO)v9-path aggregation network

Authors

A.K.M. Golam Sarwar (ORCID: https://orcid.org/0000-0003-0047-3943)
Rida Zahra
Seong‐Han Kim (ORCID: https://orcid.org/0000-0001-6687-8105)
Amad Zafar (ORCID: https://orcid.org/0000-0002-0716-3932)
Javaria Amin (ORCID: https://orcid.org/0000-0003-1080-5446)
Alena Maryum

Institutions

Rawalpindi Medical University (PK)
University of Wah (PK)
Sejong University (KR)
National University of Technology (PK)

Publication Details

Journal: Frontiers in Plant Science
Published: 2025-09-23
DOI: https://doi.org/10.3389/fpls.2025.1586865
Primary Topic: Spectroscopy and Chemometric Analyses
Type: article
Field-Weighted Citation Impact: 0.00

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article

Sorghum crops classification and segmentation using shifted window transformer neural network and localization based on (YOLO)v9-path aggregation network

A.K.M. Golam Sarwar, Rida Zahra, Seong‐Han Kim, Amad Zafar et al.

Sep 23, 2025

Frontiers in Plant Science

Spectroscopy and Chemometric Analyses

article

Sorghum crops classification and segmentation using shifted window transformer neural network and localization based on (YOLO)v9-path aggregation network

A.K.M. Golam Sarwar, Rida Zahra, Seong‐Han Kim, Amad Zafar, Javaria Amin, Alena Maryum

September 23, 2025article en

Abstract

No abstract available for this paper.

Frontiers in Plant ScienceVol. 16

Rawalpindi Medical University (PK), University of Wah (PK), Sejong University (KR), National University of Technology (PK)

Openalex Percentile: Top 71%

Spectroscopy and Chemometric Analyses

DOI Open Access PDF OpenAlex

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