Proposal for Computationally Efficient Fog Computing System for Coffee Berry Borer Detection via Optimized YOLOv26.

Huaman-Pacco IP, Sacoto-Cabrera EJ, Silva-Alvarado VL, Ahmad A, Sendra S, Lloret J, Moreno-Cardenas E.

Open source

DOI: 10.3390/s26072212
Published: 2026-04-03
Container: Sensors (Basel)
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3390/s26072212,
  title = {Proposal for Computationally Efficient Fog Computing System for Coffee Berry Borer Detection via Optimized YOLOv26.},
  author = {Huaman-Pacco IP and  Sacoto-Cabrera EJ and  Silva-Alvarado VL and  Ahmad A and  Sendra S and  Lloret J and  Moreno-Cardenas E.},
  year = {2026},
  journal = {Sensors (Basel)},
  doi = {10.3390/s26072212},
  url = {https://doi.org/10.3390/s26072212}
}

RIS

TY  - JOUR
TI  - Proposal for Computationally Efficient Fog Computing System for Coffee Berry Borer Detection via Optimized YOLOv26.
AU  - Huaman-Pacco IP
AU  -  Sacoto-Cabrera EJ
AU  -  Silva-Alvarado VL
AU  -  Ahmad A
AU  -  Sendra S
AU  -  Lloret J
AU  -  Moreno-Cardenas E.
PY  - 2026
JO  - Sensors (Basel)
DO  - 10.3390/s26072212
UR  - https://doi.org/10.3390/s26072212
ER  -

APA

IP, H., EJ, S., VL, S., A, A., S, S., J, L., & E., M. (2026). Proposal for Computationally Efficient Fog Computing System for Coffee Berry Borer Detection via Optimized YOLOv26.. Sensors (Basel). https://doi.org/10.3390/s26072212

Source records

europe-pmc · retrieved 2026-09-27T10:41:36.323Z
doaj · retrieved 2026-09-27T10:41:36.327Z