Automatic Differentiation of Damaged and Unharmed Grapes Using RGB Images and Convolutional Neural Networks

Jonas Bömer, Laura Zabawa, Philipp Sieren, Anna Kicherer, Lasse Klingbeil, Uwe Rascher, Onno Muller, Heiner Kuhlmann, Ribana Roscher. Automatic Differentiation of Damaged and Unharmed Grapes Using RGB Images and Convolutional Neural Networks. In Adrien Bartoli, Andrea Fusiello, editors, Computer Vision - ECCV 2020 Workshops - Glasgow, UK, August 23-28, 2020, Proceedings, Part VI. Volume 12540 of Lecture Notes in Computer Science, pages 347-359, Springer, 2020. [doi]

Abstract

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