Detection of Anomalous Grapevine Berries Using Variational Autoencoders

Detection of Anomalous Grapevine Berries Using Variational Autoencoders

Grapevine is one of the economically most important quality crops. The monitoring of the plant performance during the growth period is, therefore, important to ensure a high quality end-product. This includes the observation, detection, and respective reduction of unhealthy berries (physically damag...

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Bibliographic Details
Main Authors:	Miro Miranda, Laura Zabawa, Anna Kicherer, Laurenz Strothmann, Uwe Rascher, Ribana Roscher
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2022-06-01
Series:	Frontiers in Plant Science
Subjects:	autoencoder deep learning anomaly detection viticulture disease detection
Online Access:	https://www.frontiersin.org/articles/10.3389/fpls.2022.729097/full

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