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TIA-YOLOv5: An improved YOLOv5 network for real-time detection of crop and weed in the field

INTRODUCTION: Development of weed and crop detection algorithms provides theoretical support for weed control and becomes an effective tool for the site-specific weed management. For weed and crop object detection tasks in the field, there is often a large difference between the number of weed and c...

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Detalles Bibliográficos
Autores principales:	Wang, Aichen, Peng, Tao, Cao, Huadong, Xu, Yifei, Wei, Xinhua, Cui, Bingbo
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2022
Materias:	Plant Science
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9815699/ https://www.ncbi.nlm.nih.gov/pubmed/36618638 http://dx.doi.org/10.3389/fpls.2022.1091655

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