Preventing exotic pet beetle invasion with an improved lightweight and efficient pest detection model deployed on mobile devices

EPB-YOLO-PD offers an effective solution for real-time detection of exotic pet beetles at customs checkpoints. It enables rapid and accurate classification, effectively handling challenging scenarios such as incomplete morphological features and visually confusing backgrounds, and provides a replicable framework for intercepting other invasive species. © 2025 Society of Chemical Industry.

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Publication Details

Journal
Pest Management Science
Published
2025-10-28
DOI
https://doi.org/10.1002/ps.70322
Citations
1
Primary Topic
Forest Insect Ecology and Management
Type
article
Field-Weighted Citation Impact
1.72
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article

Preventing exotic pet beetle invasion with an improved lightweight and efficient pest detection model deployed on mobile devices

Yu‐Ting Yang, Haojie Bi, Xiaohong Xin, Shixiang Zong et al.
1 citations
Pest Management Science
Forest Insect Ecology and Management
1.72
article

Preventing exotic pet beetle invasion with an improved lightweight and efficient pest detection model deployed on mobile devices

Yu‐Ting Yang, Haojie Bi, Xiaohong Xin, Shixiang Zong, Jingyuan Liu, Xinyu Chan
article en
1 citations

Abstract

EPB-YOLO-PD offers an effective solution for real-time detection of exotic pet beetles at customs checkpoints. It enables rapid and accurate classification, effectively handling challenging scenarios such as incomplete morphological features and visually confusing backgrounds, and provides a replicable framework for intercepting other invasive species. © 2025 Society of Chemical Industry.

Pest Management ScienceVol. 82(2)
Beijing Forestry University (CN), Shanghai Customs College (CN)
Openalex Percentile: Top 13%
Forest Insect Ecology and Management
1.72
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