Rice yield and nutrient balance in southwest China

The optimal application of nutrients, such as nitrogen and phosphorus, to
the soil is crucial for achieving high crop yields with minimal
environmental impact. However, the effect of spatio-temporal changes in
soil nutrient supply on crop yield is poorly understood in China. Here, we
present a framework that combines environmental data, fertilizer field
experiments, and machine learning to estimate the rice yield responses to
different nutrient conditions and overall farmland nutrient sustainability
in southwest China from 2009 to 2019. This dataset contains data on the
spatial distribution of rice yield forecasts and farmland nutrient
balances in Southwest China in 2009 and 2019.