Saved in:
| Main Authors: | Sabo, Filip, Meroni, Michele, Piles, Maria, Claverie, Martin, Ferreira, Fanie, Berg, Elna Van Den, Collivignarelli, Francesco, Rembold, Felix |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2506.19046 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Ai4Fapar: How artificial intelligence can help to forecast the seasonal earth observation signal
by: Sabo, Filip, et al.
Published: (2024)
by: Sabo, Filip, et al.
Published: (2024)
PhenoYieldNet: Learning Crop-Aware Phenological Responses for Multi-Crop Yield Prediction
by: Luo, Yu, et al.
Published: (2026)
by: Luo, Yu, et al.
Published: (2026)
Crop Yield Prediction using Machine Learning
by: Doli Ruthika, et al.
Published: (2026)
by: Doli Ruthika, et al.
Published: (2026)
YieldSAT: A Multimodal Benchmark Dataset for High-Resolution Crop Yield Prediction
by: Miranda, Miro, et al.
Published: (2026)
by: Miranda, Miro, et al.
Published: (2026)
Soil Organic Carbon Improves Crop Yield and Yield Resilience
by: Alison E. King, et al.
Published: (2026)
by: Alison E. King, et al.
Published: (2026)
Naïve Bayes and Random Forest for Crop Yield Prediction
by: Maazallahi, Abbas, et al.
Published: (2024)
by: Maazallahi, Abbas, et al.
Published: (2024)
Intrinsic Explainability of Multimodal Learning for Crop Yield Prediction
by: Najjar, Hiba, et al.
Published: (2025)
by: Najjar, Hiba, et al.
Published: (2025)
Scalable Vision-Guided Crop Yield Estimation
by: Li, Harrison H., et al.
Published: (2025)
by: Li, Harrison H., et al.
Published: (2025)
Solving the Defense–Yield Dilemma in Crop Plants
by: Subhasis Karmakar, et al.
Published: (2025)
by: Subhasis Karmakar, et al.
Published: (2025)
FARM: Fine-Tuning Geospatial Foundation Models for Intra-Field Crop Yield Regression
by: Nejadshamsi, Shayan, et al.
Published: (2025)
by: Nejadshamsi, Shayan, et al.
Published: (2025)
UniCrop: A Universal, Multi-Source Data Engineering Pipeline for Scalable Crop Yield Prediction
by: Khidirova, Emiliya, et al.
Published: (2026)
by: Khidirova, Emiliya, et al.
Published: (2026)
Predictive Crop Yield Modeling and Soil Quality Classification using Machine Learning
by: Manju Sadasivan, et al.
Published: (2025)
by: Manju Sadasivan, et al.
Published: (2025)
Explainability of Sub-Field Level Crop Yield Prediction using Remote Sensing
by: Najjar, Hiba, et al.
Published: (2024)
by: Najjar, Hiba, et al.
Published: (2024)
Federated Learning Architectures: A Performance Evaluation with Crop Yield Prediction Application
by: Mukherjee, Anwesha, et al.
Published: (2024)
by: Mukherjee, Anwesha, et al.
Published: (2024)
Hierarchical Federated Learning for Crop Yield Prediction in Smart Agricultural Production Systems
by: Abouaomar, Anas, et al.
Published: (2025)
by: Abouaomar, Anas, et al.
Published: (2025)
Generalization and Feature Attribution in Machine Learning Models for Crop Yield and Anomaly Prediction in Germany
by: Baatz, Roland
Published: (2025)
by: Baatz, Roland
Published: (2025)
Innovations in Agricultural Forecasting: A Multivariate Regression Study on Global Crop Yield Prediction
by: Gupta, Ishaan, et al.
Published: (2023)
by: Gupta, Ishaan, et al.
Published: (2023)
Winter Wheat Crop Yield Prediction on Multiple Heterogeneous Datasets using Machine Learning
by: Bansal, Yogesh, et al.
Published: (2023)
by: Bansal, Yogesh, et al.
Published: (2023)
Multi-modal Data Fusion and Deep Ensemble Learning for Accurate Crop Yield Prediction
by: Yewle, Akshay Dagadu, et al.
Published: (2025)
by: Yewle, Akshay Dagadu, et al.
Published: (2025)
Digital Twin‐Based Uncertain Weather Condition Monitoring for Enhanced Crop Yield Prediction
by: A. Alphonse John Kenneth, et al.
Published: (2026)
by: A. Alphonse John Kenneth, et al.
Published: (2026)
Optimizing Crop Yield Prediction: An In‐Depth Analysis of Outlier Detection Algorithms on Davangere Region
by: C. S. Anu, et al.
Published: (2025)
by: C. S. Anu, et al.
Published: (2025)
California Crop Yield Benchmark: Combining Satellite Image, Climate, Evapotranspiration, and Soil Data Layers for County-Level Yield Forecasting of Over 70 Crops
by: Kamangir, Hamid, et al.
Published: (2025)
by: Kamangir, Hamid, et al.
Published: (2025)
Cereal‐Based Intercropping Systems Improve Yield Advantage and Crop Yield Under Superabsorbent Application in Semiarid Conditions
by: Yosof Narimani, et al.
Published: (2024)
by: Yosof Narimani, et al.
Published: (2024)
Access to Digital Extension Services and Crop Yield: Evidence From Paddy Cultivation in India
by: Chanchal Pramanik
Published: (2026)
by: Chanchal Pramanik
Published: (2026)
An Updated Simplified Energy Yield Model for Recent Photovoltaic Module Technologies
by: Anatoli Chatzipanagi, et al.
Published: (2025)
by: Anatoli Chatzipanagi, et al.
Published: (2025)
Sentinel-2 for Crop Yield Estimation: A Systematic Review
by: Narimani, Mohammadreza, et al.
Published: (2026)
by: Narimani, Mohammadreza, et al.
Published: (2026)
Consistent Positive Associations Between Landscape Diversity and Crop Yields
by: Katherine S. Nelson, et al.
Published: (2026)
by: Katherine S. Nelson, et al.
Published: (2026)
Assessing Yield Gaps and Risks in Cropping Systems of Southern Brazil
by: Eduardo Lago Tagliapietra, et al.
Published: (2025)
by: Eduardo Lago Tagliapietra, et al.
Published: (2025)
Multi-branch of Attention Yields Accurate Results for Tabular Data
by: Li, Xuechen, et al.
Published: (2025)
by: Li, Xuechen, et al.
Published: (2025)
Enhancing Crop Yield and Soil Fertility With Integrated Compost Management Using Tithonia and Alnus Biomass
by: Felix Nzeyimana, et al.
Published: (2025)
by: Felix Nzeyimana, et al.
Published: (2025)
Crop Yield Prediction Using Machine Learning and Weather Data: A Python-Based Approach
by: Saikat Paramanik
Published: (2026)
by: Saikat Paramanik
Published: (2026)
Crop Yield Time-Series Data Prediction Based on Multiple Hybrid Machine Learning Models
by: Yan, Yueru, et al.
Published: (2025)
by: Yan, Yueru, et al.
Published: (2025)
An Open and Large-Scale Dataset for Multi-Modal Climate Change-aware Crop Yield Predictions
by: Lin, Fudong, et al.
Published: (2024)
by: Lin, Fudong, et al.
Published: (2024)
Spatially Varying Deep Functional Neural Network: Application in Large-Scale Crop Yield Prediction
by: Park, Yeonjoo, et al.
Published: (2025)
by: Park, Yeonjoo, et al.
Published: (2025)
An Effective Soil Analysis and Crop Yield Prediction Based on Optimised Light GBM in Smart Agriculture
by: Vivek Parganiha, et al.
Published: (2024)
by: Vivek Parganiha, et al.
Published: (2024)
Machine Learning Predicted Crop Yield and Soil Organic Carbon Variation After Biochar Application
by: Zhichao Xu, et al.
Published: (2025)
by: Zhichao Xu, et al.
Published: (2025)
Plant-Associated Microbiomes and Their Role in Enhancing Horticultural Crop Health and Yield
by: Multidisciplinary Surgical Research Annals
Published: (2025)
by: Multidisciplinary Surgical Research Annals
Published: (2025)
Development of Crop Yield Estimation Model using Soil and Environmental Parameters
by: Ahmed, Nisar, et al.
Published: (2021)
by: Ahmed, Nisar, et al.
Published: (2021)
Exploring Physics-Informed Neural Networks for Crop Yield Loss Forecasting
by: Miranda, Miro, et al.
Published: (2024)
by: Miranda, Miro, et al.
Published: (2024)
VITA: Variational Pretraining of Transformers for Climate-Robust Crop Yield Forecasting
by: Hasan, Adib, et al.
Published: (2025)
by: Hasan, Adib, et al.
Published: (2025)
Similar Items
-
Ai4Fapar: How artificial intelligence can help to forecast the seasonal earth observation signal
by: Sabo, Filip, et al.
Published: (2024) -
PhenoYieldNet: Learning Crop-Aware Phenological Responses for Multi-Crop Yield Prediction
by: Luo, Yu, et al.
Published: (2026) -
Crop Yield Prediction using Machine Learning
by: Doli Ruthika, et al.
Published: (2026) -
YieldSAT: A Multimodal Benchmark Dataset for High-Resolution Crop Yield Prediction
by: Miranda, Miro, et al.
Published: (2026) -
Soil Organic Carbon Improves Crop Yield and Yield Resilience
by: Alison E. King, et al.
Published: (2026)