Recoverable Identifier

arXiv:2605.01283 · detector doi_compliance · incontrovertible · 2026-05-19 17:27:38.067742+00:00

advisory doi_compliance recoverable_identifier

DOI in the printed bibliography is fragmented by whitespace or line breaks. A longer candidate (10.3390/informat-ics9030055) was visible in the surrounding text but could not be confirmed against doi.org as printed.

Paper page Integrity report arXiv Try DOI

Evidence text

M. Reda, R. Suwwan, S. Alkafri, Y . Rashed, and T. Shanableh, “Agroaid: A mobile app system for visual classi ﬁ cation of plant species and diseases using deep learning and tensorﬂ ow lite,” in Informatics, vol. 9. MDPI, 2022, p. 55. doi: 10.3390/informat- ics9030055

Evidence payload

{
  "printed_excerpt": "M. Reda, R. Suwwan, S. Alkafri, Y . Rashed, and T. Shanableh, \u201cAgroaid: A mobile app system for visual classi \ufb01 cation of plant species and diseases using deep learning and tensor\ufb02 ow lite,\u201d in Informatics, vol. 9. MDPI, 2022, p. 55. doi: 1",
  "reconstructed_doi": "10.3390/informat-ics9030055",
  "ref_index": 33,
  "resolved_title": null,
  "verdict_class": "incontrovertible"
}