most citedEfficient identification, localization and quantification of grapevine inflorescences in unprepared field images using Fully Convolutional Networks

6 citations · 6 across the 1 of their papers we have counts for

collaborators

1 paper

cs.CV2018★ 6 cited

Efficient identification, localization and quantification of grapevine inflorescences in unprepared field images using Fully Convolutional Networks

Robert Rudolph, Katja Herzog, Reinhard Töpfer +1

Yield and its prediction is one of the most important tasks in grapevine breeding purposes and vineyard management. Commonly, this trait is estimated manually right before harvest…