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Object Detection Based on YOLOv5 and GhostNet for Orchard Pests

Real-time detection and identification of orchard pests is related to the economy of the orchard industry. Using lab picture collections and pictures from web crawling, a dataset of common pests in orchards has been created. It contains 24,748 color images and covers seven types of orchard pests. Ba...

Ausführliche Beschreibung

Gespeichert in:
Bibliografische Detailangaben
Hauptverfasser: Yitao Zhang, Weiming Cai, Shengli Fan, Ruiyin Song, Jing Jin
Format: Artigo
Sprache:Inglês
Veröffentlicht: MDPI AG 2022-11-01
Schriftenreihe:Information
Schlagworte:
Online-Zugang:https://www.mdpi.com/2078-2489/13/11/548
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