| 1 | Towards assessing agricultural land suitability with causal machine learning | 2022 | 43 | |
| 2 | Evaluating digital agriculture recommendations with causal inference | 2023 | 24 | |
| 3 | Personalizing sustainable agriculture with causal machine learning | 2023 | 24 | |
| 4 | Evaluating Digital Agriculture Recommendations with Causal Inference | 2022 | 24 | |
| 5 | Personalizing Sustainable Agriculture with Causal Machine Learning | 2022 | 24 | |
| 6 | Leveraging causality and explainability in digital agriculture | 2025 | 19 | |
| 7 | Understanding the impacts of crop diversification in the context of climate change: a machine learning approach | 2023 | 13 | |
| 8 | Evaluating Digital Tools for Sustainable Agriculture using Causal Inference | 2022 | 12 | |
| 9 | Causality and Explainability for Trustworthy Integrated Pest Management | 2023 | 10 | |
| 10 | Exploring the Links between Bacterial Diversity with Vegetation and Soil Parameters Using Soil Metabarcoding Data and Sentinel-2 Indices | 2024 | 3 | |
| 11 | Winter wheat improves soil carbon sequestration with reduced gains in warmer climates | 2026 | 0 | |
| 12 | Estimation of Transfer Entropy | -1 | 0 | |