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1 Ergebnisse
1
Crop Yield Prediction: An Operational Approach to Crop Yiel..:
, In:
IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium
,
Helber, Patrick
;
Bischke, Benjamin
;
Habelitz, Peter
... - p. 2763-2766 , 2023
Link:
https://doi.org/10.1109/IGARSS52108.2023.10283302
RT T1 <cTitle>IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium</cTitle>: T1 <Title>Crop Yield Prediction: An Operational Approach to Crop Yield Modeling on Field and Subfield Level with Machine Learning Models</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10283302&Exemplar=1&LAN=DE A1 Helber, Patrick A1 Bischke, Benjamin A1 Habelitz, Peter A1 Sanchez, Cristhian A1 Pathak, Deepak A1 Miranda, Miro A1 Najjar, Hiba A1 Mena, Francisco A1 Siddamsetty, Jayanth A1 Arenas, Diego A1 Vollmer, Michaela A1 Charfuelan, Marcela A1 Nuske, Marlon A1 Dengel, Andreas YR 2023 SN 2153-7003 K1 Satellites K1 Time series analysis K1 Machine learning K1 Predictive models K1 Data models K1 Reliability K1 Yield estimation K1 Yield Estimation K1 Yield Forecasting SP 2763 OP 2766 LK http://dx.doi.org/https://doi.org/10.1109/IGARSS52108.2023.10283302 DO https://doi.org/10.1109/IGARSS52108.2023.10283302 SF ELIB - SuUB Bremen
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