无线电工程2023，Vol.53Issue(12)：2771-2782,12.DOI:10.3969/j.issn.1003-3106.2023.12.006
融合注意力机制的YOLOv5深度神经网络杂草识别方法
YOLOv5 Deep Neural Network Weed Recognition Method Incorporating Attention Mechanism
摘要
关键词
杂草识别/YOLOv5/注意力机制/卷积神经网络/目标检测算法Key words
weed recognition/YOLOv5/attention mechanism/convolutional neural network/target detection algorithm分类
农业科技引用本文复制引用
郭柏璋,牟琦,冀汶莉..融合注意力机制的YOLOv5深度神经网络杂草识别方法[J].无线电工程,2023,53(12):2771-2782,12.基金项目
2019 年西安市科技局项目(20193054YF042NS042) Foundation Item:2019 Xi'an Science and Technology Bureau Project(20193054YF042NS042) （20193054YF042NS042）
