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

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Bibliografski detalji
Izdano u:	Agronomy vol. 15, no. 6 (2025), p. 1284
Glavni autor:	He Leilei
Daljnji autori:	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 pristup:	Citation/Abstract Full Text + Graphics Full Text - PDF
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