Zoom in on the Plant: Fine-Grained Analysis of Leaf, Stem, and Vein Instances

Robot perception is far from what humans are capable of. Humans do not only have a complex semantic scene understanding but also extract fine-grained intra-object properties for the salient ones. When humans look at plants, they naturally perceive the plant architecture with its individual leaves an...

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Veröffentlicht in:	IEEE robotics and automation letters Jg. 9; H. 2; S. 1588 - 1595
Hauptverfasser:	Guldenring, Ronja, Andersen, Rasmus Eckholdt, Nalpantidis, Lazaros
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 01.02.2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Agricultural robots Annotations Crops Data models Datasets Feature extraction field robots Grasslands Image categorization image dataset keypoint-guided polylines Phenotypes phenotyping Plants (botany) Robotics and automation in agriculture and forestry Robots Scene analysis Stems
ISSN:	2377-3766, 2377-3766
Online-Zugang:	Volltext
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