Towards Domain Generalization in Crop and Weed Segmentation for Precision Farming Robots

Precision farming robots offer the potential to reduce the amount of used agrochemicals through targeted interventions and thus are a promising step towards sustainable agriculture. A prerequisite for such systems is a robust plant classification system that can identify crops and weeds in various a...

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Veröffentlicht in:	IEEE robotics and automation letters Jg. 8; H. 6; S. 3310 - 3317
Hauptverfasser:	Weyler, Jan, Labe, Thomas, Magistri, Federico, Behley, Jens, Stachniss, Cyrill
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 01.06.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Agrochemicals Annotations Artificial neural networks Crop identification Crops deep learning for visual perception Domains Farming Image enhancement Image segmentation Plants (botany) Robotics and automation in agriculture and forestry Robots Robustness semantic scene understanding Semantic segmentation Semantics Soil Training Vegetation mapping Vision systems
ISSN:	2377-3766, 2377-3766
Online-Zugang:	Volltext
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