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Maier, Pirmin (2017) Modellierung von Erntemengen für Hopfensorten in der Hallertau mittels Deep Learning Algorithmen auf Basis von Klima- und Satellitendaten. Master's, Julius-Maximilians-Universität Würzburg.
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| Item URL in elib: | https://elib.dlr.de/116171/ | ||||||
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| Document Type: | Thesis (Master's) | ||||||
| Title: | Modellierung von Erntemengen für Hopfensorten in der Hallertau mittels Deep Learning Algorithmen auf Basis von Klima- und Satellitendaten | ||||||
| Authors: |
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| Date: | 20 September 2017 | ||||||
| Refereed publication: | No | ||||||
| Open Access: | No | ||||||
| Gold Open Access: | No | ||||||
| In SCOPUS: | No | ||||||
| In ISI Web of Science: | No | ||||||
| Number of Pages: | 114 | ||||||
| Status: | Published | ||||||
| Keywords: | Erntemodellierung, Deep Learning, Algorithmen, Hopfen, Hallertau | ||||||
| Institution: | Julius-Maximilians-Universität Würzburg | ||||||
| Department: | Lehrstuhl für Fernerkdundung | ||||||
| HGF - Research field: | Aeronautics, Space and Transport | ||||||
| HGF - Program: | Space | ||||||
| HGF - Program Themes: | Earth Observation | ||||||
| DLR - Research area: | Raumfahrt | ||||||
| DLR - Program: | R EO - Erdbeobachtung | ||||||
| DLR - Research theme (Project): | R - Vorhaben Geowissenschaftl. Fernerkundungs- und GIS-Verfahren | ||||||
| Location: | Oberpfaffenhofen | ||||||
| Institutes and Institutions: | German Remote Sensing Data Center | ||||||
| Deposited By: | Wöhrl, Monika | ||||||
| Deposited On: | 04 Dec 2017 11:38 | ||||||
| Last Modified: | 04 Dec 2017 11:38 |
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