Explainable AI and mobile imaging for non-destructive avocado ripeness and internal quality assessment to reduce food waste.

Lee IH, Li Z, Ma L

DOI: 10.1016/j.crfs.2025.101196
Published: 2025
Container: Current research in food science
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1016/j.crfs.2025.101196,
  title = {Explainable AI and mobile imaging for non-destructive avocado ripeness and internal quality assessment to reduce food waste.},
  author = {Lee IH and Li Z and Ma L},
  year = {2025},
  journal = {Current research in food science},
  doi = {10.1016/j.crfs.2025.101196},
  url = {https://doi.org/10.1016/j.crfs.2025.101196}
}

RIS

TY  - JOUR
TI  - Explainable AI and mobile imaging for non-destructive avocado ripeness and internal quality assessment to reduce food waste.
AU  - Lee IH
AU  - Li Z
AU  - Ma L
PY  - 2025
JO  - Current research in food science
DO  - 10.1016/j.crfs.2025.101196
UR  - https://doi.org/10.1016/j.crfs.2025.101196
ER  -

APA

IH, L., Z, L., & L, M. (2025). Explainable AI and mobile imaging for non-destructive avocado ripeness and internal quality assessment to reduce food waste.. Current research in food science. https://doi.org/10.1016/j.crfs.2025.101196

Source records

pubmed · retrieved 2026-09-27T13:21:48.579Z