Research and Implementation of Millet Ear Detection Method Based on Lightweight YOLOv5

Research and Implementation of Millet Ear Detection Method Based on Lightweight YOLOv5

As the millet ears are dense, small in size, and serious occlusion in the complex grain field scene, the target detection model suitable for this environment requires high computing power, and it is difficult to deploy the real-time detection of millet ears on mobile devices. A lightweight real-time...

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Bibliographic Details
Main Authors: Shujin Qiu, Yun Li, Jian Gao, Xiaobin Li, Xiangyang Yuan, Zhenyu Liu, Qingliang Cui, Cuiqing Wu
Format: Article
Language:English
Published: MDPI AG 2023-11-01
Series:Sensors
Subjects:
millet ear
YOLOv5
lightweight model
algorithmic optimization
Jetson Nano
Online Access:https://www.mdpi.com/1424-8220/23/22/9189

Internet

https://www.mdpi.com/1424-8220/23/22/9189

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