A lightweight weed detection model for cotton fields based on an improved YOLOv8n
J
Jun Wang
Z
Zhengyuan Qi
Y
Yanlong Wang
(State Key Laboratory of Radiation Medicine and Protection, School for Radiological and Interdisciplinary Sciences (RAD-X) and Collaborative Innovation Center of Radiation Medicine of Jiangsu Higher Education Institutions)
Y
Yanyang Liu
(Lung Cancer Treatment Center, West China Hospital, Sichuan University)
Article Details
Journal
Scientific Reports
Volume / Issue
Vol. 15, Issue 1
Published
January 02, 2025
ISSN
2045-2322
Publisher
Nature Portfolio
Authors (4)
J
Jun Wang
Z
Zhengyuan Qi
Y
Yanlong Wang
State Key Laboratory of Radiation Medicine and Protection, School for Radiological and Interdisciplinary Sciences (RAD-X) and Collaborative Innovation Center of Radiation Medicine of Jiangsu Higher Education Institutions
Y
Yanyang Liu
Lung Cancer Treatment Center, West China Hospital, Sichuan University
Related Articles from this Journal
AI models of unstable flow exhibit hallucination
Ramdhan Wibawa, Birendra Jha
Aug 2026
10.1038/s41598-026-64023-8
The MCAA-YOLO + XPBI integrated model provides a hybrid intelligent measurement method for predicting the body weight of Hu sheep
Hang Zhang, Yuang Cheng et al.
Aug 2026
10.1038/s41598-026-64075-w
Application of iron nano-biofertilizers as a sustainable approach to enhance growth and micronutrient uptake in soybean
Ava Mohrazi, Reza Ghasemi-Fasaei
Aug 2026
10.1038/s41598-026-66011-4
Adolescents’ status-dependent public and private conformity to prosocial and antisocial decisions in a public goods game
Niloofar Saeedi, Khatereh Borhani et al.
Aug 2026
10.1038/s41598-026-64831-y
An explainable hierarchical capsule network framework for supporting expert sensory evaluation of herbal medicines with natural language generation
Hyein Lee, Dae-Hyun Jung
Aug 2026
10.1038/s41598-026-64156-w