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Main Authors:	Luo, Yu, Zhu, Xiaogang, Zeng, Shan, Xiang, Wei, Bishop, Thomas Francis, Wang, Zhiyong, Hu, Kun
Format:	Preprint
Published:	2026
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence
Online Access:	https://arxiv.org/abs/2605.23478
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Intrinsic Explainability of Multimodal Learning for Crop Yield Prediction
by: Najjar, Hiba, et al.
Published: (2025)

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

MT-CYP-Net: Multi-Task Network for Pixel-Level Crop Yield Prediction Under Very Few Samples
by: Liu, Shenzhou, et al.
Published: (2025)

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

Soil Organic Carbon Improves Crop Yield and Yield Resilience
by: Alison E. King, et al.
Published: (2026)

Raspberry PhenoSet: A Phenology-based Dataset for Automated Growth Detection and Yield Estimation
by: Jafary, Parham, et al.
Published: (2024)

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

Multi-modal Data Fusion and Deep Ensemble Learning for Accurate Crop Yield Prediction
by: Yewle, Akshay Dagadu, et al.
Published: (2025)

Soil Water‐Salt Dynamics and Crop Yield Response to Combined Irrigation and Drainage in Maize‐Tomato Rotation Farmland
by: Yi Liu, et al.
Published: (2025)

From Rows to Yields: How Foundation Models for Tabular Data Simplify Crop Yield Prediction
by: Sabo, Filip, et al.
Published: (2025)

Smart Agri-Recommender: Yield-Aware Crop Selection Using Machine Learning
by: Mr. Pratik Kalukhe, et al.
Published: (2026)

Scalable Vision-Guided Crop Yield Estimation
by: Li, Harrison H., et al.
Published: (2025)

Solving the Defense–Yield Dilemma in Crop Plants
by: Subhasis Karmakar, et al.
Published: (2025)

Predictive Crop Yield Modeling and Soil Quality Classification using Machine Learning
by: Manju Sadasivan, et al.
Published: (2025)

Federated Learning Architectures: A Performance Evaluation with Crop Yield Prediction Application
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)

Deep Learning Techniques for In-Crop Weed Identification: A Review
by: Hu, Kun, et al.
Published: (2021)

Generalization and Feature Attribution in Machine Learning Models for Crop Yield and Anomaly Prediction in Germany
by: Baatz, Roland
Published: (2025)

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

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

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

Explainability of Sub-Field Level Crop Yield Prediction using Remote Sensing
by: Najjar, Hiba, et al.
Published: (2024)

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)

Crop Yield Prediction Using Machine Learning and Weather Data: A Python-Based Approach
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)

Machine Learning Predicted Crop Yield and Soil Organic Carbon Variation After Biochar Application
by: Zhichao Xu, et al.
Published: (2025)

Sentinel-2 for Crop Yield Estimation: A Systematic Review
by: Narimani, Mohammadreza, et al.
Published: (2026)

Consistent Positive Associations Between Landscape Diversity and Crop Yields
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)

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

Accurate Crop Yield Estimation of Blueberries using Deep Learning and Smart Drones
by: Nguyen, Hieu D., et al.
Published: (2025)

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

Digital Twin‐Based Uncertain Weather Condition Monitoring for Enhanced Crop Yield Prediction
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)

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

Plant-Associated Microbiomes and Their Role in Enhancing Horticultural Crop Health and Yield
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)

Exploring Physics-Informed Neural Networks for Crop Yield Loss Forecasting
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)

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