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Michaela Vollmer
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2020 – today
- 2024
- [i2]Francisco Alejandro Mena, Deepak Pathak, Hiba Najjar, Cristhian Sanchez, Patrick Helber, Benjamin Bischke, Peter Habelitz, Miro Miranda, Jayanth Siddamsetty, Marlon Nuske, Marcela Charfuelan, Diego Arenas, Michaela Vollmer, Andreas Dengel:
Adaptive Fusion of Multi-view Remote Sensing data for Optimal Sub-field Crop Yield Prediction. CoRR abs/2401.11844 (2024) - 2023
- [c4]Patrick Helber, Benjamin Bischke, Peter Habelitz, Cristhian Sanchez, Deepak Pathak
, Miro Miranda, Hiba Najjar
Crop Yield Prediction: An Operational Approach to Crop Yield Modeling on Field and Subfield Level with Machine Learning Models. IGARSS 2023: 2763-2766 - [c3]Deepak Pathak
Predicting Crop Yield with Machine Learning: An Extensive Analysis of Input Modalities and Models on a Field and Sub-Field Level. IGARSS 2023: 2767-2770 - [c2]Cristhian Sanchez, Deepak Pathak
Influence of Data Cleaning Techniques on Sub-Field Yield Predictions. IGARSS 2023: 4852-4855 - [c1]Hiba Najjar
Feature Attribution Methods for Multivariate Time-Series Explainability in Remote Sensing. IGARSS 2023: 5014-5017 - [i1]Deepak Pathak, Miro Miranda, Francisco Alejandro Mena, Cristhian Sanchez, Patrick Helber, Benjamin Bischke, Peter Habelitz, Hiba Najjar, Jayanth Siddamsetty, Diego Arenas, Michaela Vollmer, Marcela Charfuelan, Marlon Nuske, Andreas Dengel:
Predicting Crop Yield With Machine Learning: An Extensive Analysis Of Input Modalities And Models On a Field and sub-field Level. CoRR abs/2308.08948 (2023)
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last updated on 2024-10-07 22:19 CEST by the dblp team
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