YOLOv5-tassel: Detecting Tassels in RGB UAV Imagery with Improved YOLOv5 Based on Transfer Learning

Unmanned Aerial Vehicles (UAVs) equipped with lightweight sensors such as RGB cameras and LiDAR have significant potential in precision agriculture, including object detection. Tassel detection in maize is an essential trait given its relevance as the beginning of the reproductive stage of growth an...

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Veröffentlicht in:	IEEE journal of selected topics in applied earth observations and remote sensing Jg. 15; S. 1 - 10
Hauptverfasser:	Liu, Wei, Quijano, Karoll, Crawford, Melba
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE) Institute of Electrical and Electronics Engineers
Schlagworte:	Aggregation Agriculture Algorithms Annotations Cameras CenterNet Deep learning Dependent variables Detection Feature extraction Head Image acquisition Imagery Learning Lidar Neck Object detection Object recognition Precision agriculture SimAM attention module Small tassel detection Transfer learning Unmanned aerial vehicles YOLOv5
ISSN:	1939-1404, 2151-1535
Online-Zugang:	Volltext
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