A lightweight SSV2-YOLO based model for detection of sugarcane aphids in unstructured natural environments
Computers and Electronics in Agriculture(2023)
摘要
•A lightweight model was developed to detect sugarcane aphids in broad leaf crops.•Reconstructing backbone of You Only Look Once-v5-small reduced model size by 58.5%.•Refactoring neck network width reduced parameter numbers and computing time.•The proposed model outperformed other state-of-the-art algorithms.
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关键词
Deep learning, Lightweight, YOLOv5, Pest detection, Dense target recognition
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