Branch detection for apple trees trained in fruiting wall architecture using depth features and Regions-Convolutional Neural Network (R-CNN)

Published 2018 View Full Article

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Title
Branch detection for apple trees trained in fruiting wall architecture using depth features and Regions-Convolutional Neural Network (R-CNN)
Authors
Keywords
Branch detection, Branch skeleton fitting, Shake-and-catch apple harvesting, R-CNN, Depth features
Journal
COMPUTERS AND ELECTRONICS IN AGRICULTURE
Volume 155, Issue -, Pages 386-393
Publisher
Elsevier BV
Online
2018-11-02
DOI
10.1016/j.compag.2018.10.029

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