High Precision Leaf Instance Segmentation for Phenotyping in Point Clouds Obtained Under Real Field Conditions

Measuring plant traits with high throughput allows breeders to monitor and select the best cultivars for subsequent breeding generations. This can enable farmers to improve yield to produce more food, feed, and fiber. Current breeding practices involve extracting leaf parameters on a small subset of...

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Veröffentlicht in:	IEEE robotics and automation letters Jg. 8; H. 8; S. 4791 - 4798
Hauptverfasser:	Marks, Elias, Sodano, Matteo, Magistri, Federico, Wiesmann, Louis, Desai, Dhagash, Marcuzzi, Rodrigo, Behley, Jens, Stachniss, Cyrill
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 01.08.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Agricultural automation Artificial neural networks Crops Deep learning deep learning for visual perception Encoding Image segmentation Instance segmentation Neural networks Physical work Point cloud compression robotics and automation in agriculture and forestry Task analysis
ISSN:	2377-3766, 2377-3766
Online-Zugang:	Volltext
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