RoseSegNet: An attention-based deep learning architecture for organ segmentation of plants

Research article (Biosystems Engineering, 2022) · cited 34× · AI/ML
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RoseSegNet: An attention-based deep learning architecture for organ segmentation of plants

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RoseSegNet: An attention-based deep learning architecture for organ segmentation of plants is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). RoseSegNet: An attention-based deep learning architecture for organ segmentation of plants. Retrieved May 24, 2026, from https://4ort.xyz/entity/rosesegnet-an-attention-based-deep-learning-architecture-for-organ-segmentation-of-plants
MLA “RoseSegNet: An attention-based deep learning architecture for organ segmentation of plants.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/rosesegnet-an-attention-based-deep-learning-architecture-for-organ-segmentation-of-plants.
BibTeX @misc{4ortxyz_rosesegnet-an-attention-based-deep-learning-architecture-for-organ-segmentation-of-plants_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{RoseSegNet: An attention-based deep learning architecture for organ segmentation of plants}}, year = {2026}, url = {https://4ort.xyz/entity/rosesegnet-an-attention-based-deep-learning-architecture-for-organ-segmentation-of-plants}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): RoseSegNet: An attention-based deep learning architecture for organ segmentation of plants — https://4ort.xyz/entity/rosesegnet-an-attention-based-deep-learning-architecture-for-organ-segmentation-of-plants (retrieved 2026-05-24)

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