Machine Learning Model Predicts Effect of Climate Change to Rice Yields
March 27, 2024| |
American researchers produced a predictive model to identify the effects of climate change on rice yields. The strategies from their research may be applied to other crop species.
The United States of America is one of the top rice exporters in the world. However, their production is affected by genetics and climate change.
To understand the relationship between weather, genetic variation, and yield, researchers from Purdue University, Cornell University, and the Dale Bumpers National Rice Research Center used machine learning algorithms to develop predictive models for rice breeding. The rice varieties were studied at the genetic level and classified based on gene variations or alleles. Their findings showed that in a future affected by climate change, the newer varieties perform better than older varieties.
For more information, read the article on PNAS.
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