Open Access
30 May 2022 (Retracted) Field weed recognition algorithm based on machine learning
Yingxuan Liu
Author Affiliations +
Abstract

The Editor-in-Chief and the publisher have retracted this article, which was submitted as part of a guest-edited special section. An investigation uncovered evidence of systematic manipulation of the publication process, including compromised peer review. The Editor and publisher no longer have confidence in the results and conclusions of the article.

YL either did not respond directly or could not be reached.

© 2022 SPIE and IS&T
Yingxuan Liu "(Retracted) Field weed recognition algorithm based on machine learning," Journal of Electronic Imaging 31(5), 051413 (30 May 2022). https://doi.org/10.1117/1.JEI.31.5.051413
Received: 29 January 2022; Accepted: 5 April 2022; Published: 30 May 2022
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CITATIONS
Cited by 3 scholarly publications.
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KEYWORDS
Machine learning

Detection and tracking algorithms

Image processing

Feature fusion

Agriculture

Education and training

Feature extraction

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