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

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Dades bibliogràfiques
Publicat a:	Agronomy vol. 15, no. 6 (2025), p. 1284
Autor principal:	He Leilei
Altres autors:	Ruiyang, Wei, Ding Yusong, Huang Juncai, Wei, Xin, Li, Rui, Wang, Shaojin, Fu Longsheng
Publicat:	MDPI AG
Matèries:	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
Accés en línia:	Citation/Abstract Full Text + Graphics Full Text - PDF
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