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Using Transfer Learning for Quality Improved Forecasting of Temporal Agricultural Processes by Adapting Convolutional Neural Networks

Alexander Münzberg, Christian Troost, Ansgar Bernardi. Using Transfer Learning for Quality Improved Forecasting of Temporal Agricultural Processes by Adapting Convolutional Neural Networks. In Daniel Demmler, Daniel Krupka, Hannes Federrath, editors, 52. Jahrestagung der Gesellschaft für Informatik, INFORMATIK 2022, Informatik in den Naturwissenschaften, 26. - 30. September 2022, Hamburg. Volume P-326 of LNI, pages 1495-1503, Gesellschaft für Informatik, Bonn, 2022. [doi]

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