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

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Detaylı Bibliyografya
Yayımlandı:	Agronomy vol. 15, no. 6 (2025), p. 1284
Yazar:	He Leilei
Diğer Yazarlar:	Ruiyang, Wei, Ding Yusong, Huang Juncai, Wei, Xin, Li, Rui, Wang, Shaojin, Fu Longsheng
Baskı/Yayın Bilgisi:	MDPI AG
Konular:	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 Erişim:	Citation/Abstract Full Text + Graphics Full Text - PDF
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