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Open Access

Retraction

Retraction: Early detection of plant leaf diseases using stacking hybrid learning

  • The PLOS One Editors

The PLOS One Editors retract this article [1] due to concerns about:

  • Compliance with PLOS policies on Artificial Intelligence Tools and Technologies.
  • The use of terminology that differs from standards in the field (e.g., neural community instead of neural network).
  • Adherence to the journal’s requirements regarding methodology reporting.
  • The reliability of the reported results and conclusions.

The author did not agree with the retraction.

Reference

  1. 1. Sheneamer A. Early detection of plant leaf diseases using stacking hybrid learning. PLoS ONE. 2024;19(11):e0313607.

Citation: The PLOS One Editors (2025) Retraction: Early detection of plant leaf diseases using stacking hybrid learning. PLoS One 20(7): e0328535. https://doi.org/10.1371/journal.pone.0328535

Published: July 21, 2025

Copyright: © 2025 The PLOS One Editors. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.