Cover Image

Winter Wheat Crop Yield Prediction on Multiple Heterogeneous Datasets using Machine Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Bansal, Yogesh, Lillis, David, Kechadi, Mohand Tahar
Format:	Preprint
Published:	2023
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Trajectory Prediction in Dynamic Object Tracking: A Critical Study
by: Dong, Zhongping, et al.
Published: (2025)

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

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

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

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

SOTFormer: A Minimal Transformer for Unified Object Tracking and Trajectory Prediction
by: Dong, Zhongping, et al.
Published: (2025)

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

Machine Learning for Dynamic Management Zone in Smart Farming
by: Kulatunga, Chamil, et al.
Published: (2024)

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

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

Multiple Yield Curve Modeling and Forecasting using Deep Learning
by: Richman, Ronald, et al.
Published: (2024)

Hierarchical Federated Learning for Crop Yield Prediction in Smart Agricultural Production Systems
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)

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

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

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

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

Federated Learning for Epileptic Seizure Prediction Across Heterogeneous EEG Datasets
by: Baykara, Cem Ata, et al.
Published: (2025)

Predicting Student Success with Heterogeneous Graph Deep Learning and Machine Learning Models
by: Muresan, Anca, et al.
Published: (2026)

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

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

Context-Aware Mobile Network Performance Prediction Using Network & Remote Sensing Data
by: Shibli, Ali, et al.
Published: (2024)

Precision Agriculture Revolution: Integrating Digital Twins and Advanced Crop Recommendation for Optimal Yield
by: Banerjee, Sayan, et al.
Published: (2025)

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

Cloud Digital Forensic Readiness: An Open Source Approach to Law Enforcement Request Management
by: Akilal, Abdellah, et al.
Published: (2025)

Healthcare Data Governance, Privacy, and Security -- A Conceptual Framework
by: Faridoon, Amen, et al.
Published: (2024)

Adaptive Self-Distillation for Minimizing Client Drift in Heterogeneous Federated Learning
by: Yashwanth, M, et al.
Published: (2023)

Crop Yield Prediction using Machine Learning
by: Doli Ruthika, et al.
Published: (2026)

Texture image retrieval using a classification and contourlet-based features
by: Rouhafzay, Asal, et al.
Published: (2024)

Winter Wheat Response to Winter Pea Cover Crop Under Dryland Cropping
by: Hero Gollany
Published: (2024)

EuroCropsML: A Time Series Benchmark Dataset For Few-Shot Crop Type Classification
by: Reuss, Joana, et al.
Published: (2024)

Machine Learning-Based Basil Yield Prediction in IoT-Enabled Indoor Vertical Hydroponic Farms
by: Bouzid, Emna, et al.
Published: (2025)

Machine Learning Models for Soil Parameter Prediction Based on Satellite, Weather, Clay and Yield Data
by: Kammerlander, Calvin, et al.
Published: (2025)

A Secured Triad of IoT, Machine Learning, and Blockchain for Crop Forecasting in Agriculture
by: Sizan, Najmus Sakib, et al.
Published: (2025)

Physics-informed and Unsupervised Riemannian Domain Adaptation for Machine Learning on Heterogeneous EEG Datasets
by: Mellot, Apolline, et al.
Published: (2024)

A Hierarchical Neural Framework for Classification and its Explanation in Large Unstructured Legal Documents
by: Prasad, Nishchal, et al.
Published: (2023)

Thermodynamic Prediction Enabled by Automatic Dataset Building and Machine Learning
by: Liu, Juejing, et al.
Published: (2025)

Quantum Machine Learning: Unveiling Trends, Impacts through Bibliometric Analysis
by: Bansal, Riya, et al.
Published: (2025)

$k$-Submodular Interdiction Problems under Distributional Risk-Receptiveness and Robustness: Application to Machine Learning
by: Park, Seonghun, et al.
Published: (2024)

Multiple Locally Linear Kernel Machines
by: Picard, David
Published: (2024)