  Agriculture is crucial in sustaining human life and civilization that relies
heavily on natural resources. This industry faces new challenges, such as
climate change, a growing global population, and new models for managing food
security and water resources. Through a machine learning framework, we estimate
the future productivity of croplands based on CMIP5 climate projections on
moderate carbon emission scenario. We demonstrate that Vietnam and Thailand are
at risk with a 10\% and 14\% drop in rice production, respectively, whereas the
Philippines is expected to increase its output by 11\% by 2026 compared with
2018. We urge proactive international collaboration between regions facing crop
land gain and degradation to mitigate the climate change and population growth
impacts reducing our society's vulnerability. Our study provides critical
information on the effects of climate change and human activities on land
productivity and uses that may assist such collaboration.
