Copertina

Explainability of Sub-Field Level Crop Yield Prediction using Remote Sensing

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Najjar, Hiba, Miranda, Miro, Nuske, Marlon, Roscher, Ribana, Dengel, Andreas
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Intrinsic Explainability of Multimodal Learning for Crop Yield Prediction
di: Najjar, Hiba, et al.
Pubblicazione: (2025)

XAI-Guided Enhancement of Vegetation Indices for Crop Mapping
di: Najjar, Hiba, et al.
Pubblicazione: (2024)

Adaptive Fusion of Multi-view Remote Sensing data for Optimal Sub-field Crop Yield Prediction
di: Mena, Francisco, et al.
Pubblicazione: (2024)

Data-Centric Machine Learning for Earth Observation: Necessary and Sufficient Features
di: Najjar, Hiba, et al.
Pubblicazione: (2024)

Predicting Crop Yield With Machine Learning: An Extensive Analysis Of Input Modalities And Models On a Field and sub-field Level
di: Pathak, Deepak, et al.
Pubblicazione: (2023)

Exploring Physics-Informed Neural Networks for Crop Yield Loss Forecasting
di: Miranda, Miro, et al.
Pubblicazione: (2024)

Can Multitask Learning Enhance Model Explainability?
di: Najjar, Hiba, et al.
Pubblicazione: (2025)

Common Practices and Taxonomy in Deep Multi-view Fusion for Remote Sensing Applications
di: Mena, Francisco, et al.
Pubblicazione: (2022)

Opening the Black-Box: A Systematic Review on Explainable AI in Remote Sensing
di: Höhl, Adrian, et al.
Pubblicazione: (2024)

YieldSAT: A Multimodal Benchmark Dataset for High-Resolution Crop Yield Prediction
di: Miranda, Miro, et al.
Pubblicazione: (2026)

Confidence-Filtered Relevance (CFR): An Interpretable and Uncertainty-Aware Machine Learning Framework for Naturalness Assessment in Satellite Imagery
di: Emam, Ahmed, et al.
Pubblicazione: (2025)

Informed Learning for Estimating Drought Stress at Fine-Scale Resolution Enables Accurate Yield Prediction
di: Miranda, Miro, et al.
Pubblicazione: (2025)

Unifying VXAI: A Systematic Review and Framework for the Evaluation of Explainable AI
di: Dembinsky, David, et al.
Pubblicazione: (2025)

Impact Assessment of Missing Data in Model Predictions for Earth Observation Applications
di: Mena, Francisco, et al.
Pubblicazione: (2024)

In the Search for Optimal Multi-view Learning Models for Crop Classification with Global Remote Sensing Data
di: Mena, Francisco, et al.
Pubblicazione: (2024)

Confident Naturalness Explanation (CNE): A Framework to Explain and Assess Patterns Forming Naturalness
di: Emam, Ahmed, et al.
Pubblicazione: (2023)

An Analysis of Temporal Dropout in Earth Observation Time Series for Regression Tasks
di: Miranda, Miro, et al.
Pubblicazione: (2025)

Data-driven Crop Growth Simulation on Time-varying Generated Images using Multi-conditional Generative Adversarial Networks
di: Drees, Lukas, et al.
Pubblicazione: (2023)

On What Depends the Robustness of Multi-source Models to Missing Data in Earth Observation?
di: Mena, Francisco, et al.
Pubblicazione: (2025)

Exploring Self-Attention for Crop-type Classification Explainability
di: Obadic, Ivica, et al.
Pubblicazione: (2022)

CMAViT: Integrating Climate, Managment, and Remote Sensing Data for Crop Yield Estimation with Multimodel Vision Transformers
di: Kamangir, Hamid, et al.
Pubblicazione: (2024)

Retrieval-Augmented Multi-scale Framework for County-Level Crop Yield Prediction Across Large Regions
di: Sun, Yiming, et al.
Pubblicazione: (2026)

Winter Wheat Crop Yield Prediction on Multiple Heterogeneous Datasets using Machine Learning
di: Bansal, Yogesh, et al.
Pubblicazione: (2023)

Naïve Bayes and Random Forest for Crop Yield Prediction
di: Maazallahi, Abbas, et al.
Pubblicazione: (2024)

Federated Learning Architectures: A Performance Evaluation with Crop Yield Prediction Application
di: Mukherjee, Anwesha, et al.
Pubblicazione: (2024)

Development of Crop Yield Estimation Model using Soil and Environmental Parameters
di: Ahmed, Nisar, et al.
Pubblicazione: (2021)

UniCrop: A Universal, Multi-Source Data Engineering Pipeline for Scalable Crop Yield Prediction
di: Khidirova, Emiliya, et al.
Pubblicazione: (2026)

Privacy Meets Explainability: A Comprehensive Impact Benchmark
di: Saifullah, Saifullah, et al.
Pubblicazione: (2022)

Increasing the Robustness of Model Predictions to Missing Sensors in Earth Observation
di: Mena, Francisco, et al.
Pubblicazione: (2024)

Evaluating Generative Models for Tabular Data: Novel Metrics and Benchmarking
di: Herurkar, Dayananda, et al.
Pubblicazione: (2025)

FREQuency ATTribution: benchmarking frequency-based occlusion for time series data
di: Mercier, Dominique, et al.
Pubblicazione: (2025)

VITA: Variational Pretraining of Transformers for Climate-Robust Crop Yield Forecasting
di: Hasan, Adib, et al.
Pubblicazione: (2025)

A Machine Learning Approach for Crop Yield and Disease Prediction Integrating Soil Nutrition and Weather Factors
di: Ahmed, Forkan Uddin, et al.
Pubblicazione: (2024)

Assessment of Sentinel-2 spatial and temporal coverage based on the scene classification layer
di: Sanchez, Cristhian, et al.
Pubblicazione: (2024)

Hierarchical Federated Learning for Crop Yield Prediction in Smart Agricultural Production Systems
di: Abouaomar, Anas, et al.
Pubblicazione: (2025)

SubZeroCore: A Submodular Approach with Zero Training for Coreset Selection
di: Moser, Brian B., et al.
Pubblicazione: (2025)

LC-SLab -- An Object-based Deep Learning Framework for Large-scale Land Cover Classification from Satellite Imagery and Sparse In-situ Labels
di: Leonhardt, Johannes, et al.
Pubblicazione: (2025)

An assessment of data-centric methods for label noise identification in remote sensing data sets
di: Kröber, Felix, et al.
Pubblicazione: (2026)

Innovations in Agricultural Forecasting: A Multivariate Regression Study on Global Crop Yield Prediction
di: Gupta, Ishaan, et al.
Pubblicazione: (2023)

An Open and Large-Scale Dataset for Multi-Modal Climate Change-aware Crop Yield Predictions
di: Lin, Fudong, et al.
Pubblicazione: (2024)