Dual-task multi-species network design and training using advanced augmentation techniques

Accurate weed localization in pasture environments is essential for effective site-specific weed management (SSWM). This study evaluates two dual-task convolutional neural networks (CNNs) - a truncated ConvNeXt (tCN) and a truncated UniStemNet (tUSN) - for simultaneous plant segmentation and spraypo...

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Dades bibliogràfiques

Autors principals:	Jonathan Ford, Edmund Sadgrove, David Paul
Format:	Artigo
Idioma:	Inglês
Publicat:	Elsevier 2025-12-01
Col·lecció:	Smart Agricultural Technology
Matèries:	Convolutional neural networks Computer vision Site-specific weed management Precision agriculture CutMix augmentation
Accés en línia:	http://www.sciencedirect.com/science/article/pii/S2772375525008251
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