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An Adaptive Approach for Automated Grapevine Phenotyping using VGG-based
  Convolutional Neural Networks
v1v2 (latest)

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

23 November 2018
Jonatan Grimm
Katja Herzog
F. Rist
A. Kicherer
R. Töpfer
Volker Steinhage
ArXiv (abs)PDFHTML

Papers citing "An Adaptive Approach for Automated Grapevine Phenotyping using VGG-based Convolutional Neural Networks"

2 / 2 papers shown
Title
Towards Precise Pruning Points Detection using Semantic-Instance-Aware
  Plant Models for Grapevine Winter Pruning Automation
Towards Precise Pruning Points Detection using Semantic-Instance-Aware Plant Models for Grapevine Winter Pruning Automation
Miguel Fernandes
A. Scaldaferri
P. Guadagna
G. Fiameni
Tao Teng
Matteo Gatti
S. Poni
Claudio Semini
Darwin G. Caldwell
Fei Chen
42
2
0
15 Sep 2021
Grapevine Winter Pruning Automation: On Potential Pruning Points
  Detection through 2D Plant Modeling using Grapevine Segmentation
Grapevine Winter Pruning Automation: On Potential Pruning Points Detection through 2D Plant Modeling using Grapevine Segmentation
Miguel Fernandes
A. Scaldaferri
G. Fiameni
Tao Teng
Matteo Gatti
S. Poni
Claudio Semini
D. Caldwell
Fei Chen
48
16
0
08 Jun 2021
1