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Deep learning-enabled hyperspectral imaging for high-accuracy non-destructive quantification of nutritional components in multi-variety apples — Europe PMC PMID:41049205

Source: Europe PMC (en)
Original: https://europepmc.org/article/MED/41049205
DOI: 10.3389/fpls.2025.1634785
License (as archived): solo-consultazione
Archived: 2026-11-09T20:59:18.089Z
SHA-256 of the archived text: 3d3c636168d39a80c8b4217541c25806293ccf3ae314bd02a7ff73e90b6d8ede
Stable URL of this page: https://metraipolis.com/documento/dc_39fbc2bbad68

How to cite

Deep learning-enabled hyperspectral imaging for high-accuracy non-destructive quantification of nutritional components in multi-variety apples — Europe PMC PMID:41049205 — Europe PMC (en), https://europepmc.org/article/MED/41049205 (solo-consultazione); archived copy: https://metraipolis.com/documento/dc_39fbc2bbad68 (Metraipolis archive dc_39fbc2bbad68, sha256 3d3c636168d39a80c8b4217541c25806293ccf3ae314bd02a7ff73e90b6d8ede)

BibTeX

@misc{dc39fbc2bbad68,
  title = {Deep learning-enabled hyperspectral imaging for high-accuracy non-destructive quantification of nutritional components in multi-variety apples — Europe PMC PMID:41049205},
  howpublished = {Europe PMC (en)},
  url = {https://europepmc.org/article/MED/41049205},
  note = {License solo-consultazione; archived copy https://metraipolis.com/documento/dc_39fbc2bbad68; sha256 3d3c636168d39a80c8b4217541c25806293ccf3ae314bd02a7ff73e90b6d8ede},
  year = {2026}
}

Archived text

The text is not reproduced here: the archive holds it as solo-consultazione (consultation only, no republication). Read it at the original source: https://europepmc.org/article/MED/41049205. Agents can read the archived copy with the MCP tool read_document.