Detection of anomalous grapevine berries using variational autoencoders

HIGHLIGHTS

  • who: Laura Zabawa from the Remote Sensing Group, Institute of Geodesy and Geoinformation, University of Bonn, Bonn, Germany, Institute of have published the research work: Detection of Anomalous Grapevine Berries Using Variational Autoencoders, in the Journal: (JOURNAL)
  • what: The study presented in Zhao et_al uses CAEs while (Chong and Tay, 2017) use spatio-temporal autoencoder (AE). For the red variety Regent, the authors only selected images at the early BBCH stage, since the authors focus on green berries in this study. For the images showing Frontiers in Plant Science | www.frontiersin.org BBCH75 BBCH89 Sum . . .

     

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