Adaptive autonomous UAV scouting for rice lodging assessment using edge computing with deep learning EDANet

•Adaptive autonomous UAV (AUAV) scouting is proposed using edge computing and deep learning with EDANet for rice lodging assessments.•Adaptive AUAV scouting includes different flying heights in one mission for comprehensive lodging assessments.•A prior simulation considering energy consumption for f...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Computers and electronics in agriculture 2020-12, Vol.179, p.105817, Article 105817
Hauptverfasser:	Yang, Ming-Der, Boubin, Jayson G., Tsai, Hui Ping, Tseng, Hsin-Hung, Hsu, Yu-Chun, Stewart, Christopher C.
Format:	Artikel
Sprache:	eng
Schlagworte:	Adaptive Artificial neural networks Autonomous UAV Crop yield Deep learning Edge computing Population growth Quality assessment Rice Rice lodging Unmanned aerial vehicles
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!