Integrating recursive feature selection with automated machine learning framework for global wheat price prediction
Wheat price forecasting is challenging due to the interplay between economic trends, environmental variability and unpredictable market conditions, as well as the scarcity of reliable data. This research presents an innovative method for predicting global wheat prices by combining Recursive Feature...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-08-01
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| Series: | Journal of Agriculture and Food Research |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666154325004843 |
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