A Stacking Ensemble Framework Leveraging Synthetic Data for Accurate and Stable Crop Yield Forecasting

A Stacking Ensemble Framework Leveraging Synthetic Data for Accurate and Stable Crop Yield Forecasting

With the rapid increase in world’s population and changing climate patterns, accurate crop yield forecasting is essential to ensure food security and sustainable agriculture. This study presents a yield prediction framework consisting of Stacking Ensemble Model (SEM) and its Optimized var...

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Bibliographic Details
Main Authors: Muhammad Waqar, Yong-Woon Kim, Yung-Cheol Byun
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Crop yield prediction
stacking ensemble learning
synthetic data augmentation
Prophet
XGBoost
random forest
Online Access:https://ieeexplore.ieee.org/document/11091272/
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https://ieeexplore.ieee.org/document/11091272/

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