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

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Bibliografske podrobnosti
izdano v:	Agronomy vol. 15, no. 6 (2025), p. 1284
Glavni avtor:	He Leilei
Drugi avtorji:	Ruiyang, Wei, Ding Yusong, Huang Juncai, Wei, Xin, Li, Rui, Wang, Shaojin, Fu Longsheng
Izdano:	MDPI AG
Teme:	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
Online dostop:	Citation/Abstract Full Text + Graphics Full Text - PDF
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