Helios: Introducing a Project for Forecasting Yields using a Small Network of All-Sky Imagers and Meteorological Sensors
G. Behrens, A. Boschert, A. Kruse, M. Zehner, M. Heigl, (n.d.).
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Konferenzbeitrag
| Angenommen
| Englisch
Autor*in
Behrens, Grit ;
Boschert, Andreas;
Kruse, Alexander ;
Zehner, Mike ;
Heigl, Martin
Einrichtung
Erscheinungsjahr
Konferenz
ENVIROINFO - Europäische Konferenz für Umweltinformatik
Konferenzort
Cairo
Konferenzdatum
2024-11-12 – 2024-11-14
FH-PUB-ID
Zitieren
Behrens, Grit ; Boschert, Andreas ; Kruse, Alexander ; Zehner, Mike ; Heigl, Martin : Helios: Introducing a Project for Forecasting Yields using a Small Network of All-Sky Imagers and Meteorological Sensors. In: , Lecture Notes of Informatics . Berlin
Behrens G, Boschert A, Kruse A, Zehner M, Heigl M. Helios: Introducing a Project for Forecasting Yields using a Small Network of All-Sky Imagers and Meteorological Sensors.
Behrens, G., Boschert, A., Kruse, A., Zehner, M., & Heigl, M. (n.d.). Helios: Introducing a Project for Forecasting Yields using a Small Network of All-Sky Imagers and Meteorological Sensors. Presented at the ENVIROINFO - Europäische Konferenz für Umweltinformatik, Berlin.
@article{Behrens_Boschert_Kruse_Zehner_Heigl, place={Berlin}, series={Lecture Notes of Informatics }, title={Helios: Introducing a Project for Forecasting Yields using a Small Network of All-Sky Imagers and Meteorological Sensors}, author={Behrens, Grit and Boschert, Andreas and Kruse, Alexander and Zehner, Mike and Heigl, Martin }, collection={Lecture Notes of Informatics } }
Behrens, Grit, Andreas Boschert, Alexander Kruse, Mike Zehner, and Martin Heigl. “Helios: Introducing a Project for Forecasting Yields Using a Small Network of All-Sky Imagers and Meteorological Sensors.” Lecture Notes of Informatics . Berlin, n.d.
G. Behrens, A. Boschert, A. Kruse, M. Zehner, and M. Heigl, “Helios: Introducing a Project for Forecasting Yields using a Small Network of All-Sky Imagers and Meteorological Sensors.” Berlin.
Behrens, Grit, et al. Helios: Introducing a Project for Forecasting Yields Using a Small Network of All-Sky Imagers and Meteorological Sensors.