Towards IoT-Fog-ML integration for temperature break detection and prediction in fresh produce cold chains: a systematic review and architectural framework.

Taguta J, Nturambirwe JFI, Nyirenda CN.

Open source

DOI: 10.3389/frai.2026.1830032
Published: 2026-07-17
Container: Front Artif Intell
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3389/frai.2026.1830032,
  title = {Towards IoT-Fog-ML integration for temperature break detection and prediction in fresh produce cold chains: a systematic review and architectural framework.},
  author = {Taguta J and  Nturambirwe JFI and  Nyirenda CN.},
  year = {2026},
  journal = {Front Artif Intell},
  doi = {10.3389/frai.2026.1830032},
  url = {https://doi.org/10.3389/frai.2026.1830032}
}

RIS

TY  - JOUR
TI  - Towards IoT-Fog-ML integration for temperature break detection and prediction in fresh produce cold chains: a systematic review and architectural framework.
AU  - Taguta J
AU  -  Nturambirwe JFI
AU  -  Nyirenda CN.
PY  - 2026
JO  - Front Artif Intell
DO  - 10.3389/frai.2026.1830032
UR  - https://doi.org/10.3389/frai.2026.1830032
ER  -

APA

J, T., JFI, N., & CN., N. (2026). Towards IoT-Fog-ML integration for temperature break detection and prediction in fresh produce cold chains: a systematic review and architectural framework.. Front Artif Intell. https://doi.org/10.3389/frai.2026.1830032

Source records

europe-pmc · retrieved 2026-09-25T19:56:32.017Z
doaj · retrieved 2026-09-25T19:56:32.020Z