Compressing Semantic Segmentation Models for Agricultural IoT: A Systematic Study of Pruning Trade-Offs for Crop–Weed Segmentation

Flora Amato, Rajib Chandra Ghosh, Semanto Mondal

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DOI: 10.3390/jimaging12100495
Published: 2026-10-08
Container: Journal of Imaging
Publisher: MDPI AG
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.3390/jimaging12100495,
  title = {Compressing Semantic Segmentation Models for Agricultural IoT: A Systematic Study of Pruning Trade-Offs for Crop–Weed Segmentation},
  author = {Flora Amato and Rajib Chandra Ghosh and Semanto Mondal},
  year = {2026},
  journal = {Journal of Imaging},
  doi = {10.3390/jimaging12100495},
  url = {https://doi.org/10.3390/jimaging12100495}
}

RIS

TY  - JOUR
TI  - Compressing Semantic Segmentation Models for Agricultural IoT: A Systematic Study of Pruning Trade-Offs for Crop–Weed Segmentation
AU  - Flora Amato
AU  - Rajib Chandra Ghosh
AU  - Semanto Mondal
PY  - 2026
JO  - Journal of Imaging
DO  - 10.3390/jimaging12100495
UR  - https://doi.org/10.3390/jimaging12100495
ER  -

APA

Amato, F., Ghosh, R. C., & Mondal, S. (2026). Compressing Semantic Segmentation Models for Agricultural IoT: A Systematic Study of Pruning Trade-Offs for Crop–Weed Segmentation. Journal of Imaging. https://doi.org/10.3390/jimaging12100495

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crossref · retrieved 2026-11-05T17:34:49.994Z