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...

תיאור מלא

מידע ביבליוגרפי

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
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	Frontiers Media S.A. 2026-02-01
סדרה:	Frontiers in Plant Science
נושאים:	sugarcane impurity detection instance segmentation YOLOv11 deep learning lightweight
גישה מקוונת:	https://www.frontiersin.org/articles/10.3389/fpls.2026.1745861/full
תגים:	הוספת תג אין תגיות, היה/י הראשונ/ה לתייג את הרשומה!