most citedAn Adaptive Approach for Automated Grapevine Phenotyping using VGG-based Convolutional Neural Networks

4 citations · 4 across the 1 of their papers we have counts for

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1 paper

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…