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Article
2025
Assessing the capability of YOLO- and transformer-based
object detectors for real-time weed detection
Assessing the capability of YOLO- and transformer-based
object detectors for real-time weed detection
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Precision agriculture, 26 (2025), 52.
https://doi.org/10.1007/s11119-025-10246-0.
ISSN: 1573-1618
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Allmendinger, A., Saltık, A. O., Peteinatos, G. G., Stein, A., & Gerhards, R. (2025). Assessing the capability of YOLO- and transformer-based
object detectors for real-time weed detection. Precision agriculture, 26. https://doi.org/10.1007/s11119-025-10246-0
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English
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630 Agriculture
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Sustainable Development Goals
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@article{Allmendinger2025-09-27,
doi = {10.1007/s11119-025-10246-0},
url = {https://hohpublica.uni-hohenheim.de/handle/123456789/18209},
author = {Allmendinger, Alicia and Saltık, Ahmet Oğuz and G. Peteinatos, Gerassimos et al.},
title = {Assessing the capability of YOLO- and transformer-based
object detectors for real-time weed detection},
journal = {Precision agriculture},
year = {2025-09-27},
volume = {26},
}