An Energy-Efficient Edge Vision System for Front-End Quality Monitoring in Sustainable Cold Chains: Coffee Fruit Ripeness Detection and Embedded Validation

Xi Cui, Shirong Guo

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DOI: 10.3390/s26206535
Published: 2026-10-15
Container: Sensors
Publisher: MDPI AG
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.3390/s26206535,
  title = {An Energy-Efficient Edge Vision System for Front-End Quality Monitoring in Sustainable Cold Chains: Coffee Fruit Ripeness Detection and Embedded Validation},
  author = {Xi Cui and Shirong Guo},
  year = {2026},
  journal = {Sensors},
  doi = {10.3390/s26206535},
  url = {https://doi.org/10.3390/s26206535}
}

RIS

TY  - JOUR
TI  - An Energy-Efficient Edge Vision System for Front-End Quality Monitoring in Sustainable Cold Chains: Coffee Fruit Ripeness Detection and Embedded Validation
AU  - Xi Cui
AU  - Shirong Guo
PY  - 2026
JO  - Sensors
DO  - 10.3390/s26206535
UR  - https://doi.org/10.3390/s26206535
ER  -

APA

Cui, X., & Guo, S. (2026). An Energy-Efficient Edge Vision System for Front-End Quality Monitoring in Sustainable Cold Chains: Coffee Fruit Ripeness Detection and Embedded Validation. Sensors. https://doi.org/10.3390/s26206535

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crossref · retrieved 2026-11-10T07:07:02.635Z