| 1 | Scalable Parcel-Based Crop Identification Scheme Using Sentinel-2 Data Time-Series for the Monitoring of the Common Agricultural Policy | 2018 | 142 | |
| 2 | Scalable parcel-based crop identification scheme using Sentinel-2 data time-series for the monitoring of the common agricultural policy | 2018 | 142 | |
| 3 | Scalable crop classification using Sentinel-2 time-series for monitoring the Common Agricultural Policy | 2018 | 115 | |
| 4 | Large Language Models for Constrained-Based Causal Discovery | 2023 | 45 | |
| 5 | Towards assessing agricultural land suitability with causal machine learning | 2022 | 43 | |
| 6 | Large language models for causal hypothesis generation in science | 2025 | 35 | |
| 7 | Assessing the Added Value of Sentinel-1 PolSAR Data for Crop Classification | 2022 | 34 | |
| 8 | Assessing the added value of Sentinel-1 PolSAR data for crop classification | 2022 | 34 | |
| 9 | Semantically enriched crop type classification and linked earth observation data to support the common agricultural policy monitoring | 2020 | 33 | |
| 10 | A Scalable Machine Learning Pipeline for Paddy Rice Classification Using Multi-Temporal Sentinel Data | 2021 | 29 | |
| 11 | Evaluating digital agriculture recommendations with causal inference | 2023 | 24 | |
| 12 | Personalizing sustainable agriculture with causal machine learning | 2023 | 24 | |
| 13 | Evaluating Digital Agriculture Recommendations with Causal Inference | 2022 | 24 | |
| 14 | Personalizing Sustainable Agriculture with Causal Machine Learning | 2022 | 24 | |
| 15 | Scalable distributed Random Forest for paddy rice mapping | 2019 | 23 | |
| 16 | CY-Bench: a comprehensive benchmark dataset for sub-national crop yield forecasting | 2026 | 19 | |
| 17 | CY-Bench: A comprehensive benchmark dataset for sub-national crop yield forecasting | 2025 | 19 | |
| 18 | Leveraging causality and explainability in digital agriculture | 2025 | 19 | |
| 19 | Recurrent U-Net based dynamic paddy rice mapping in South Korea with enhanced data compatibility to support agricultural decision making | 2023 | 19 | |
| 20 | Pest presence prediction using interpretable machine learning | 2022 | 18 | |
| 21 | Causal machine learning for sustainable agroecosystems | 2024 | 17 | |
| 22 | Cloud gap-filling with deep learning for improved grassland monitoring | 2024 | 16 | |
| 23 | Causal discovery reveals complex patterns of drought-induced displacement | 2024 | 15 | |
| 24 | Fuzzy clustering for the within-season estimation of cotton phenology | 2022 | 15 | |
| 25 | DataCAP: A Satellite Datacube and Crowdsourced Street-level Images for the Monitoring of the Common Agricultural Policy | 2022 | 14 | |
| 26 | Towards Space-to-Ground Data Availability for Agriculture Monitoring | 2022 | 13 | |
| 27 | Evaluating Digital Tools for Sustainable Agriculture using Causal Inference | 2022 | 12 | |
| 28 | Evaluating digital tools for sustainable agriculture using causal inference | 2022 | 12 | |
| 29 | Scalable distributed random forest classification for paddy rice mapping | 2020 | 11 | |
| 30 | SCALABLE DISTRIBUTED RANDOM FOREST CLASSIFICATION FOR PADDY RICE MAPPING ASIAN CONFERENCE ON REMOTE SENSING ACRS 2019 | -1 | 11 | |
| 31 | Causality and explainability for trustworthy integrated pest management | 2023 | 10 | |
| 32 | Causality and Explainability for Trustworthy Integrated Pest Management | 2023 | 10 | |
| 33 | A Sentinel based agriculture monitoring scheme for the control of the CAP and food security | 2021 | 10 | |
| 34 | A sentinel based agriculture monitoring scheme for the control of the cap and food security | 2020 | 10 | |
| 35 | DC circuit breakers and their use in HVDC grids | 2012 | 10 | |
| 36 | A data cube of big satellite image time-series for agriculture monitoring | 2022 | 8 | |
| 37 | A Data Cube of Big Satellite Image Time-Series for Agriculture Monitoring | 2022 | 8 | |
| 38 | Towards Global Crop Maps with Transfer Learning | 2022 | 8 | |
| 39 | Semi-Supervised Phenology Estimation in Cotton Parcels with Sentinel-2 Time-Series | 2021 | 7 | |
| 40 | Assessing the causal impact of humanitarian aid on food security | 2024 | 6 | |
| 41 | Assessing the Causal Impact of Humanitarian Aid on Food Security | 2024 | 6 | |
| 42 | Shrug-fm: Reliability-aware foundation models for earth observation | 2026 | 4 | |
| 43 | SHRUG-FM: Reliability-Aware Foundation Models for Earth Observation | 2025 | 4 | |
| 44 | Causal machine learning methods for understanding land use and land cover change | 2025 | 3 | |
| 45 | Staged event trees for transparent treatment effect estimation | 2025 | 2 | |
| 46 | Staged Event Trees for Transparent Treatment Effect Estimation | 2025 | 2 | |
| 47 | Bridging the weather and climate divide with artificial intelligence | 2026 | 1 | |
| 48 | MultiMedia Modeling: 28th International Conference, MMM 2022, Phu Quoc, Vietnam, June 6–10, 2022, Proceedings, Part I | 2022 | 1 | |
| 49 | EOPEN: OPEN INTEROPERABLE PLATFORM FOR UNIFIED ACCESS AND ANALYSIS OF EARTH OBSERVATION DATA | -1 | 1 | |
| 50 | Winter wheat improves soil carbon sequestration with reduced gains in warmer climates | 2026 | 0 | |
| 51 | A Causal Machine Learning approach for estimating the heterogeneous effects of fertilizer dose and timing on smallholder maize yields in Tanzania | 2026 | 0 | |
| 52 | Translating causal models into environmental practice | 2026 | 0 | |
| 53 | Dimensionality Reduction for Remote Sensing Data Analysis: A Systematic Review of Methods and Applications | 2025 | 0 | |
| 54 | Feature Extraction in the Remote Sensing Data Value Chain: A Systematic Review of Methods and Applications | 2025 | 0 | |
| 55 | Positive-Unlabeled Learning for Control Group Construction in Observational Causal Inference | 2025 | 0 | |
| 56 | Operational and actionable Acute Food Insecurity modelling | 2025 | 0 | |
| 57 | Large Language Models for Causal Discovery in the Earth Sciences | 2024 | 0 | |
| 58 | Causal Machine Learning for Sustainable Agriculture and Food Security | 2024 | 0 | |
| 59 | Causal evaluation of humanitarian aid on food security | 2024 | 0 | |
| 60 | CY-Bench: A comprehensive benchmark dataset for subnational crop yield forecasting | 2024 | 0 | |
| 61 | Evaluating the Impact of Humanitarian Aid on Food Security | 2023 | 0 | |
| 62 | Big earth data and machine learning for sustainable and resilient agriculture | 2022 | 0 | |
| 63 | Reinforcing the common agriculture policy: automated satellite-based earth observation services support the monitoring of farmers’ compliance to Common Agriculture Policy (cap … | 2022 | 0 | |
| 64 | Big Earth Data and Machine Learning for Sustainable and Resilient Agriculture | 2022 | 0 | |
| 65 | Deep Learning for Event Detection on Grasslands | 2021 | 0 | |
| 66 | H2020 EOpen easing Copernicus data & services exploitation | 2020 | 0 | |
| 67 | A Novel Approach on Smart Farming: Combining Past, Present and Future EO, Climatic and NWP datasets Towards an Integrated Crop Monitoring, Risk-Assessment and Yield Forecasting … | 2020 | 0 | |
| 68 | A Sentinel-based Agriculture Monitoring Scheme. | 2019 | 0 | |
| 69 | Causal Effects of Winter Wheat on Soil Organic Carbon Under Climate Variability | -1 | 0 | |
| 70 | H2020 EOPEN EASING COPERNICUS DATA & SERVICES EXPLOITATION | -1 | 0 | |
| 71 | Causal Machine Learning for Sustainable Agriculture | -1 | 0 | |