Improved YOLOv11n-seg for impurity detection in mechanically harvested sugarcane

The content of impurities in mechanically harvested sugarcane is a critical factor for evaluating harvest quality and determining market price. To enable intelligent detection of impurities in mechanically harvested sugarcane, this study proposes an impurity detection method based on an improved YOL...

ver descrição completa

Detalhes bibliográficos

Principais autores:	Fengguang He, Sili Zhou, Pinlan Chen, Ganran Deng, Shaobo Feng, Guojie Li, Zhende Cui, Shuang Zheng, Ling Li, Bin Yan, Shuangmei Qin, Xilin Wang, Ye Dai, Zehua Liu
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Frontiers Media S.A. 2026-02-01
coleção:	Frontiers in Plant Science
Assuntos:	sugarcane impurity detection instance segmentation YOLOv11 deep learning lightweight
Acesso em linha:	https://www.frontiersin.org/articles/10.3389/fpls.2026.1745861/full
Tags:	Adicionar Tag Sem tags, seja o primeiro a adicionar uma tag!