Enhancing Dense-Scene Millet Appearance Quality Inspection Based on YOLO11s with Overlap-Partitioning Strategy for Procurement

Gardado en:

Detalles Bibliográficos
Publicado en:	Agronomy vol. 15, no. 6 (2025), p. 1284
Autor Principal:	He Leilei
Outros autores:	Ruiyang, Wei, Ding Yusong, Huang Juncai, Wei, Xin, Li, Rui, Wang, Shaojin, Fu Longsheng
Publicado:	MDPI AG
Materias:	Accuracy Deep learning Image resolution Smartphones Inspection Applications programs Procurement Impurities Image detection Mobile computing Grain Automation Millet Partitioning Quality assessment Machine vision Quality control High resolution Support vector machines Rice Image quality Object recognition Real time
Acceso en liña:	Citation/Abstract Full Text + Graphics Full Text - PDF
Etiquetas:	Engadir etiqueta Sen Etiquetas, Sexa o primeiro en etiquetar este rexistro!

Sexa o primeiro en deixar un comentario!