Enhancing Arabica and Robusta coffee prices forecasting through machine learning approaches

Researchers used machine learning models to forecast Arabica and Robusta coffee prices by analyzing climatic, economic, and production data from 2009 to 2025. The study found that stacking multiple models provided the most accurate predictions, though Arabica prices remained difficult to forecast under extreme climate scenarios.
Why it matters
Improving price forecasting for global commodities helps stabilize supply chains and assists producers in managing risks associated with climate change and market volatility.
Scientific Reports volume 16 , Article number: 27389 ( 2026 ) Cite this article
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