Gro’s Yield Forecast Models use a suite of machine-learning models to estimate in-season yields at the district, province, and/or national levels on a daily basis. Gro’s Argentina Corn Yield Forecast Model is updated daily, providing in-season yields at the district, province, and national levels throughout the growing season.
Customers Use the Model to
Why It Matters
Argentina is the fifth-largest corn producer in the world, and the third-largest exporter of the crop. The country exports the majority of the corn it produces, injecting over $5 billion a year into the country’s economy. Developments in Argentina’s corn production have implications for the global economy, as a decline in production here heightens pressure on other key exporters of the product. This makes Argentina a significant country to watch when monitoring global trade dynamics.
Gro’s district-level yield model for corn in Argentina was built using machine-learning techniques that rely on weather and environmental data. The model uses a number of variables, including: