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"Landwirtschaftliche Ertragsvorhersage im Kontext begrenzter realer ..."
Alexander Münzberg et al. (2023)
- Alexander Münzberg, Christian Troost, Nils Reinosch, Daniel Martini, Liv Seuring, Alexander Niehus, Rajiv Kumar Srivastava, Thilo Streck, Thomas Berger, Ansgar Bernardi:
Landwirtschaftliche Ertragsvorhersage im Kontext begrenzter realer Trainingsdatensätze: ein Transfer-Learning-Ansatz unter Verwendung tieferneuronalerNetze. GI-Jahrestagung 2023: 1515-1525
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