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Agriculture is crucial in sustaining human life and civilization that reliesheavily on natural resources. This industry faces new challenges, such asclimate change, a growing global population, and new models for managing foodsecurity and water resources. Through a machine learning framework, we estimatethe future productivity of croplands based on CMIP5 climate projections onmoderate carbon emission scenario. We demonstrate that Vietnam and Thailand areat risk with a 10\% and 14\% drop in rice production, respectively, whereas thePhilippines is expected to increase its output by 11\% by 2026 compared with2018. We urge proactive international collaboration between regions facing cropland gain and degradation to mitigate the climate change and population growthimpacts reducing our society's vulnerability. Our study provides criticalinformation on the effects of climate change and human activities on landproductivity and uses that may assist such collaboration.

Climate Change and Future Food Security: Predicting the Extent of Cropland Gain or Degradation