90 citations · 90 across the 2 of their papers we have counts for
2 papers
cs.CV2019
Detection of Single Grapevine Berries in Images Using Fully Convolutional Neural Networks
Laura Zabawa, Anna Kicherer, Lasse Klingbeil +4
Yield estimation and forecasting are of special interest in the field of grapevine breeding and viticulture. The number of harvested berries per plant is strongly correlated with t…
cs.CV2017★ 90 cited
Automated Image Analysis Framework for the High-Throughput Determination of Grapevine Berry Sizes Using Conditional Random Fields
Ribana Roscher, Katja Herzog, Annemarie Kunkel +3
The berry size is one of the most important fruit traits in grapevine breeding. Non-invasive, image-based phenotyping promises a fast and precise method for the monitoring of the g…