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September 12, 2025InsectsOpen Access

Study on the Image Recognition of Field-Trapped Adult Spodoptera frugiperda Using Sex Pheromone Lures

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This study demonstrates improved image recognition accuracy for Spodoptera frugiperda in field conditions, indicating enhanced pest control methods.

The optimized CBAM-YOLOv5 model achieved a 97.8% mean Average Precision for Spodoptera frugiperda identification, ensuring reliable pest monitoring.
A dataset of 9550 labeled insects was created over two years, improving detection through advanced deep learning techniques.
Integrating attention mechanisms and data augmentation strategies enhanced model performance under complex field conditions.
This intelligent recognition system advances pest control technology by automating the identification and counting of captured insects.

Xu et al. (2025) studied this question.

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September 12, 2025InsectsOpen Access

View Full Paper

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Authors

This study demonstrates improved image recognition accuracy for Spodoptera frugiperda in field conditions, indicating enhanced pest control methods.

The optimized CBAM-YOLOv5 model achieved a 97.8% mean Average Precision for Spodoptera frugiperda identification, ensuring reliable pest monitoring.
A dataset of 9550 labeled insects was created over two years, improving detection through advanced deep learning techniques.
Integrating attention mechanisms and data augmentation strategies enhanced model performance under complex field conditions.
This intelligent recognition system advances pest control technology by automating the identification and counting of captured insects.

Xu et al. (2025) studied this question.

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