A lightweight SSV2-YOLO based model for detection of sugarcane aphids in unstructured natural environments

Computers and Electronics in Agriculture(2023)

引用 2|浏览13
暂无评分
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.
更多
查看译文
关键词
Deep learning, Lightweight, YOLOv5, Pest detection, Dense target recognition
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要