New Analytical Strategies for Quality Control and Classification of Apple Juices Using Digital Image Processing (DIP) Combined with Machine Learning (ML).

Kaczala S, de Lima VA, Felsner ML

Open source

DOI: 10.1021/acsomega.5c08212
Published: 2025 Dec 30
Container: ACS omega
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1021/acsomega.5c08212,
  title = {New Analytical Strategies for Quality Control and Classification of Apple Juices Using Digital Image Processing (DIP) Combined with Machine Learning (ML).},
  author = {Kaczala S and de Lima VA and Felsner ML},
  year = {2025},
  journal = {ACS omega},
  doi = {10.1021/acsomega.5c08212},
  url = {https://doi.org/10.1021/acsomega.5c08212}
}

RIS

TY  - JOUR
TI  - New Analytical Strategies for Quality Control and Classification of Apple Juices Using Digital Image Processing (DIP) Combined with Machine Learning (ML).
AU  - Kaczala S
AU  - de Lima VA
AU  - Felsner ML
PY  - 2025
JO  - ACS omega
DO  - 10.1021/acsomega.5c08212
UR  - https://doi.org/10.1021/acsomega.5c08212
ER  -

APA

S, K., VA, D. L., & ML, F. (2025). New Analytical Strategies for Quality Control and Classification of Apple Juices Using Digital Image Processing (DIP) Combined with Machine Learning (ML).. ACS omega. https://doi.org/10.1021/acsomega.5c08212

Source records

pubmed · retrieved 2026-09-25T22:19:38.822Z
europe-pmc · retrieved 2026-09-25T22:19:38.843Z
doaj · retrieved 2026-09-25T22:19:38.836Z