T. Iizumi

Assessing climate change risks associated with precipitation at unfavorable times in winter wheat using an improved crop calendar model incorporating vernalization and winter survival

This study improves a crop phenology model for winter wheat by incorporating vernalization and winter survival, then assesses climate change risks under warming scenarios.

Data-driven yield projections suggest large opportunities to improve Europe's soybean self-sufficiency under climate change

The paper uses machine learning to project soybean yields in Europe under different climate scenarios, suggesting increased self-sufficiency is possible with expanded cropland.