MangoStem-YOLOv8n: An improved YOLOv8n for mango and stem detection in natural orchard environments

To address low accuracy of fruiting stem and mango detection and low efficiency of end-side deployment of real-time detection in complex orchard environments, this study reported a real-time detection algorithm for fruiting stem and mango detection with a MangoStem-YOLOv8n lightweight network model...

Ausführliche Beschreibung

Bibliografische Detailangaben

Hauptverfasser:	Shengang Diao, Jingan Feng, Bin Zhang, Yuyang Xia, Yang Gu, Dong Li, Wei Fu
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	Elsevier 2025-12-01
Schriftenreihe:	Smart Agricultural Technology
Schlagworte:	Object detection Mango Fruiting stem YOLOv8n Lightweighting TensorRT
Online-Zugang:	http://www.sciencedirect.com/science/article/pii/S2772375525007166
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