| Crop yield prediction: An operational approach to crop yield modeling on field and subfield level with machine learning models P Helber, B Bischke, P Habelitz, C Sanchez, D Pathak, M Miranda, ... IGARSS 2023-2023 IEEE International Geoscience and Remote Sensing Symposium …, 2023 | 6 | 2023 |
| Detection of Anomalous Grapevine Berries Using Variational Autoencoders M Miranda, L Zabawa, A Kicherer, L Strothmann, U Rascher, R Roscher Frontiers in Plant Science, 1483, 2022 | 4 | 2022 |
| Predicting Crop Yield With Machine Learning: An Extensive Analysis Of Input Modalities And Models On a Field and sub-field Level D Pathak, M Miranda, F Mena, C Sanchez, P Helber, B Bischke, ... arXiv preprint arXiv:2308.08948, 2023 | 3 | 2023 |
| Influence of data cleaning techniques on sub-field yield predictions C Sanchez, D Pathak, M Miranda, M Charfuelan, P Helber, M Nuske, ... IGARSS 2023-2023 IEEE International Geoscience and Remote Sensing Symposium …, 2023 | 3 | 2023 |
| Controlled Multi-modal Image Generation for Plant Growth Modeling M Miranda, L Drees, R Roscher 2022 26th International Conference on Pattern Recognition (ICPR), 5118-5124, 2022 | 3 | 2022 |
| Adaptive Fusion of Multi-view Remote Sensing data for Optimal Sub-field Crop Yield Prediction F Mena, D Pathak, H Najjar, C Sanchez, P Helber, B Bischke, P Habelitz, ... arXiv preprint arXiv:2401.11844, 2024 | 1 | 2024 |
| Feature Attribution Methods for Multivariate Time-Series Explainability in Remote Sensing H Najjar, P Helber, B Bischke, P Habelitz, C Sanchez, F Mena, M Miranda, ... IGARSS 2023-2023 IEEE International Geoscience and Remote Sensing Symposium …, 2023 | 1 | 2023 |
