Segmentation of abnormal leaves of hydroponic lettuce based on DeepLabV3+ for robotic sorting

•Segmenting abnormal leaves for hydroponic lettuce sorting using DeepLabV3+ model.•Xception-65, Xception-71, ResNet-50, and ResNet-101 were trained and compared.•Median frequency weight was used to mitigate data imbalance.•ResNet-101 achieved the highest mIoU and acceptable speed for automatic sorti...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Computers and electronics in agriculture 2021-11, Vol.190, p.106443, Article 106443
Hauptverfasser:	Wu, Zhenchao, Yang, Ruizhe, Gao, Fangfang, Wang, Wenqi, Fu, Longsheng, Li, Rui
Format:	Artikel
Sprache:	eng
Schlagworte:	Data imbalance Image processing Image segmentation Lettuce Median frequency weights Object recognition ResNet Semantic segmentation Uniform weights Vision systems
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!