Using improved density peak clustering algorithm for flower cluster identification and apple central and peripheral flower detection

•A method for apple flowers recognition based on YOLOv8n model was proposed.•An improved Single-Layer DPC algorithm was used to automatically determine different clusters.•A Double-Layer DPC algorithm was applied to rectify any offsets of centres of clusters.•The proposed method provided reference f...

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Veröffentlicht in:	Computers and electronics in agriculture Jg. 232; S. 110095
Hauptverfasser:	Geng, Mingyang, Shang, Yuying, Xiang, Shiyu, Wang, Jiachen, Wang, Lei, Song, Huaibo
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.05.2025
Schlagworte:	agriculture algorithms Apple Flower apples data collection Deep Learning Density Peak Clustering Algorithm electronics Flower Cluster Identification flowers Apple Flower Flower Cluster Identification Density Peak Clustering Algorithm Deep Learning
ISSN:	0168-1699
Online-Zugang:	Volltext
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