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

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Bibliografiset tiedot
Julkaisussa:	Agronomy vol. 15, no. 6 (2025), p. 1284
Päätekijä:	He Leilei
Muut tekijät:	Ruiyang, Wei, Ding Yusong, Huang Juncai, Wei, Xin, Li, Rui, Wang, Shaojin, Fu Longsheng
Julkaistu:	MDPI AG
Aiheet:	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
Linkit:	Citation/Abstract Full Text + Graphics Full Text - PDF
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