Deep learning-based anomaly detection for precision field crop protection

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Publication Details

Journal
Frontiers in Plant Science
Published
2025-05-14
DOI
https://doi.org/10.3389/fpls.2025.1576756
Citations
7
Primary Topic
Anomaly Detection Techniques and Applications
Type
article
Field-Weighted Citation Impact
17.37
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article

Deep learning-based anomaly detection for precision field crop protection

Yilin Shan, Mengyao Zhen, Wei Cheng
7 citations
Frontiers in Plant Science
Anomaly Detection Techniques and Applications
17.37
article

Deep learning-based anomaly detection for precision field crop protection

Yilin Shan, Mengyao Zhen, Wei Cheng
article en
7 citations

Abstract

No abstract available for this paper.
Frontiers in Plant ScienceVol. 16
Ningbo University (CN), Chongqing Technology and Business University (CN), Ningbo University of Technology (CN)
Openalex Percentile: Top 1%
Anomaly Detection Techniques and Applications
17.37
DOIOpen Access PDFOpenAlex
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Deep learning-based anomaly detection for precision field crop protection — Yilin Shan, Mengyao Zhen, et al. · Frontiers in Plant Science (2025) | TGRS Research Map | TGRS