20 citations · 54 across the 9 of their papers we have counts for
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cs.CV2018★ 4 cited
An Adaptive Approach for Automated Grapevine Phenotyping using VGG-based Convolutional Neural Networks
Jonatan Grimm, Katja Herzog, Florian Rist +3
In (grapevine) breeding programs and research, periodic phenotyping and multi-year monitoring of different grapevine traits, like growth or yield, is needed especially in the field…
cs.CV2018★ 2 cited
Multi-View Semantic Labeling of 3D Point Clouds for Automated Plant Phenotyping
Bernhard Japes, Jennifer Mack, Florian Rist +3
Semantic labeling of 3D point clouds is important for the derivation of 3D models from real world scenarios in several economic fields such as building industry, facility managemen…