Behind the Leaves: Estimation of Occluded Grapevine Berries With Conditional Generative Adversarial Networks

Behind the Leaves: Estimation of Occluded Grapevine Berries With Conditional Generative Adversarial Networks

The need for accurate yield estimates for viticulture is becoming more important due to increasing competition in the wine market worldwide. One of the most promising methods to estimate the harvest is berry counting, as it can be approached non-destructively, and its process can be automated. In th...

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Bibliographic Details
Main Authors:	Jana Kierdorf, Immanuel Weber, Anna Kicherer, Laura Zabawa, Lukas Drees, Ribana Roscher
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2022-03-01
Series:	Frontiers in Artificial Intelligence
Subjects:	deep learning machine learning Generative Adversarial Networks domain-transfer grape generation occlusions
Online Access:	https://www.frontiersin.org/articles/10.3389/frai.2022.830026/full

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