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The research article presents YOLO-ASPE, a modification of YOLOv8 designed to enhance small pest detection in agricultural imagery by integrating Axis-Separated Positional Encoding (C2f-ASPE) blocks. This approach improves detection accuracy, achieving 84.3% [email protected], particularly for small and camouflaged pests, while maintaining real-time performance on edge hardware. The study validates YOLO-ASPE on the AgroPest-12 dataset, demonstrating significant improvements over the baseline model with minimal additi

Author

IJAR JOURNAL

Language

EN