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Treffer: 6

• Chapter from OCM 2023 - 6th International Conference on Optical Characterization of Materials, March 22nd – 23rd, 2023, Karlsruhe, Germany : Conference Proceedings

  Self-supervised Pretraining for Hyperspectral Classification of Fruit Ripeness

  Andreas Zell, Hannah Frank, Leon Amadeus Varga

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• Chapter from OCM 2021 – 5th International Conference on Optical Characterization of Materials, March 17th – 18th, 2021, Karlsruhe, Germany : Conference Proceedings

  Exotic Fruit Ripening Based on OpticalCharacterisation

  Gunnar Nakladal, Matthias Jeindl, Anton Scheibelmasser

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• Chapter from OCM 2013 – Optical Characterization of Materials – conference proceedings

  Improving optical fruit sorting bynon-destructive determination of qualityparameters affecting wine quality

  M. Freund, M. Lafontaine

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• Chapter from OCM 2019 – 4th International Conference on Optical Characterization of Materials, March 13th – 14th, 2019, Karlsruhe, Germany : Conference Proceedings

  Determination of tomato quality attributes using portable NIR-sensors

  Heike Mempel, Michael Fernandes, Julius Krause, Simon Goisser

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• Chapter from OCM 2021 – 5th International Conference on Optical Characterization of Materials, March 17th – 18th, 2021, Karlsruhe, Germany : Conference Proceedings

  Developing a handheld NIR sensor for thedetection of ripening in grapevine

  Anna Kicherer, Reinhard Töpfer, Robin Gruna, Felix Kronenwett, Xiaorong Zheng, Julius Krause, Lucie Gebauer

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• Chapter from OCM 2021 – 5th International Conference on Optical Characterization of Materials, March 17th – 18th, 2021, Karlsruhe, Germany : Conference Proceedings

  Phenoliner 2.0: RGB and near-infrared (NIR)image acquisition for an efficient phenotypingin grapevine research

  Anna Kicherer, Reinhard Töpfer, Robin Gruna, Benedikt Fischer, Julius Krause, Xiaorong Zheng

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