Automated Drought-Stress Assessment in Lettuce: A Detection-Guided Segmentation Approach for Multi-Plant RGB Imagery

Syed, Ali Asgher, Wagner, Zühal, Streif, Stefan, :unav

DOI: 10.24406/publica-10475
Published: 2026
Container: Not recorded
Publisher: Fraunhofer-Gesellschaft
Open access: no

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Cite this work

BibTeX

@article{allodium:10.24406/publica-10475,
  title = {Automated Drought-Stress Assessment in Lettuce: A Detection-Guided Segmentation Approach for Multi-Plant RGB Imagery},
  author = {Syed, Ali Asgher and Wagner, Zühal and Streif, Stefan and :unav},
  year = {2026},
  doi = {10.24406/publica-10475},
  url = {https://doi.org/10.24406/publica-10475}
}

RIS

TY  - JOUR
TI  - Automated Drought-Stress Assessment in Lettuce: A Detection-Guided Segmentation Approach for Multi-Plant RGB Imagery
AU  - Syed, Ali Asgher
AU  - Wagner, Zühal
AU  - Streif, Stefan
AU  - :unav
PY  - 2026
DO  - 10.24406/publica-10475
UR  - https://doi.org/10.24406/publica-10475
ER  -

APA

Asgher, S. A., Zühal, W., Stefan, S., & :unav (2026). Automated Drought-Stress Assessment in Lettuce: A Detection-Guided Segmentation Approach for Multi-Plant RGB Imagery. https://doi.org/10.24406/publica-10475

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datacite · retrieved 2026-09-25T05:24:10.115Z