Crop Yield Prediction: An Operational Approach to Crop Yield Modeling on Field and Subfield Level with Machine Learning Models. - Patrick Helber; Benjamin Bischke; Peter Habelitz; Cristhian Sanchez; Deepak Pathak; Miro Miranda; Hiba Najjar; Francisco Alejandro Mena; Jayanth Siddamsetty; Diego Arenas; Michaela Vollmer; Marcela Charfuelan; et al. (IGARSS, 2023)

Feature Attribution Methods for Multivariate Time-Series Explainability in Remote Sensing. - Hiba Najjar; Patrick Helber; Benjamin Bischke; Peter Habelitz; Cristhian Sanchez; Francisco Alejandro Mena; Miro Miranda; Deepak Pathak; Jayanth Siddamsetty; Diego Arenas; Michaela Vollmer; Marcela Charfuelan; et al. (IGARSS, 2023)

Predicting Crop Yield with Machine Learning: An Extensive Analysis of Input Modalities and Models on a Field and Sub-Field Level. - 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; et al. (IGARSS, 2023)

Influence of Data Cleaning Techniques on Sub-Field Yield Predictions. - Cristhian Sanchez; Deepak Pathak; Miro Miranda; Marcela Charfuelan; Patrick Helber; Marlon Nuske; Benjamin Bischke; Peter Habelitz; Nafisur Rahman; Francisco Alejandro Mena; Hiba Najjar; Jayanth Siddamsetty; et al. (IGARSS, 2023)

Adaptive Fusion of Multi-view Remote Sensing data for Optimal Sub-field Crop Yield Prediction. - 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; et al. (CoRR, 2024)