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Research Article | Open Access |

RETRACTED: Improved YOLO-X Model for Tomato Disease Severity Detection using Field Dataset

Author 1: Rajasree R
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 14, No. 9 · Published 2023 · Cited by 6

DOI: https://doi.org/10.14569/IJACSA.2023.0140925

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Abstract

After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IJACSA`s Publication Principles. We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper. Retraction DOI: 10.14569/IJACSA.2023.0140925.retraction

Keywords

Convolutional neural network deep learning object classification plant disease detection spatial pyramid pooling YOLOX

How to Cite this Article

R, R. (2023). RETRACTED: Improved YOLO-X Model for Tomato Disease Severity Detection using Field Dataset. International Journal of Advanced Computer Science and Applications, 14(9). https://doi.org/10.14569/IJACSA.2023.0140925

R, Rajasree. "RETRACTED: Improved YOLO-X Model for Tomato Disease Severity Detection using Field Dataset." International Journal of Advanced Computer Science and Applications, vol. 14, no. 9, 2023, https://doi.org/10.14569/IJACSA.2023.0140925.

@article{R2023,
  title     = {RETRACTED: Improved YOLO-X Model for Tomato Disease Severity Detection using Field Dataset},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {14},
  number    = {9},
  year      = {2023},
  publisher = {The Science and Information Organization},
  author    = {Rajasree R},
  doi       = {10.14569/IJACSA.2023.0140925},
  url       = {https://doi.org/10.14569/IJACSA.2023.0140925}
}

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