Leveraging Machine Learning to Understand Climate and Extreme Event Impacts on Crop Yields: A Systematic Review (2015–2025)
This systematic review synthesizes evidence from 137 peer-reviewed studies published between 2015 and 2025 that applied ML models to assess the effects of both long-term climate trends and discrete extreme events on crop yields worldwide, highlighting the transformative potential of ML while identifying persistent chal...