An Online Method for Detecting Seeding Performance Based on Improved YOLOv5s Model

An Online Method for Detecting Seeding Performance Based on Improved YOLOv5s Model

Prior to dispatch from manufacturing facilities, seeders require rigorous performance evaluations for their seeding capabilities. Conventional manual inspection methods are notably less efficient. This study introduces a wheat seeding detection approach anchored in an enhanced YOLOv5s image-processi...

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Bibliographic Details
Main Authors: Jie Zhao, Xiaobo Xi, Yangjie Shi, Baofeng Zhang, Jiwei Qu, Yifu Zhang, Zhengbo Zhu, Ruihong Zhang
Format: Article
Language:English
Published: MDPI AG 2023-09-01
Series:Agronomy
Subjects:
YOLOv5s
CBAM modules
CARAFE upsampling
wheat seed detection
Online Access:https://www.mdpi.com/2073-4395/13/9/2391

Internet

https://www.mdpi.com/2073-4395/13/9/2391

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