Improved Cotton Seed Breakage Detection Based on YOLOv5s

Improved Cotton Seed Breakage Detection Based on YOLOv5s

Convolutional neural networks have been widely used in nondestructive testing of agricultural products. Aiming at the problems of missing detection, false detection, and slow detection, a lightweight improved cottonseed damage detection method based on YOLOv5s is proposed. Firstly, the focus element...

Full description

Bibliographic Details
Main Authors: Yuanjie Liu, Zunchao Lv, Yingyue Hu, Fei Dai, Hongzhou Zhang
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Agriculture
Subjects:
Denseblock
collaborative attention
Ghostconv
CIOU loss function
YOLOv5s
Online Access:https://www.mdpi.com/2077-0472/12/10/1630

Similar Items

Similar Items