| DiffusionSat: A Generative Foundation Model for Satellite Imagery | Dec 6, 2023 | Crop Yield PredictionImage Generation | CodeCode Available | 2 |
| The CropAndWeed Dataset: A Multi-Modal Learning Approach for Efficient Crop and Weed Manipulation | Jan 6, 2023 | BenchmarkingCrop Classification | CodeCode Available | 1 |
| EarthNet2021: A novel large-scale dataset and challenge for forecasting localized climate impacts | Dec 11, 2020 | Crop Yield PredictionEarth Observation | CodeCode Available | 1 |
| MMST-ViT: Climate Change-aware Crop Yield Prediction via Multi-Modal Spatial-Temporal Vision Transformer | Sep 16, 2023 | Contrastive LearningCrop Yield Prediction | CodeCode Available | 1 |
| SICKLE: A Multi-Sensor Satellite Imagery Dataset Annotated with Multiple Key Cropping Parameters | Nov 29, 2023 | Crop Type MappingCrop Yield Prediction | CodeCode Available | 1 |
| A Sensor Agnostic Domain Generalization Framework for Leveraging Geospatial Foundation Models: Enhancing Semantic Segmentation viaSynergistic Pseudo-Labeling and Generative Learning | May 2, 2025 | Crop Yield PredictionDomain Adaptation | CodeCode Available | 1 |
| Predicting crop yields with little ground truth: A simple statistical model for in-season forecasting | Jun 16, 2021 | Crop Yield PredictionFeature Engineering | CodeCode Available | 1 |
| EarthNet2021: A large-scale dataset and challenge for Earth surface forecasting as a guided video prediction task | Apr 16, 2021 | Crop Yield PredictionEarth Surface Forecasting | CodeCode Available | 1 |
| A GNN-RNN Approach for Harnessing Geospatial and Temporal Information: Application to Crop Yield Prediction | Nov 17, 2021 | BIG-bench Machine LearningCrop Yield Prediction | CodeCode Available | 1 |
| A Hybrid Deep Learning-based Approach for Optimal Genotype by Environment Selection | Sep 22, 2023 | Crop Yield PredictionFeature Importance | —Unverified | 0 |
