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. Our Argentina Soy Yield Forecast Model predicts district-level soybean yield, which we then aggregate to the national level.
Customers Use the Model to
Why It Matters
Argentina is the third-largest producer of soybeans in the world, and the largest exporter of soybean meal and oil. The country produces over 40 million tonnes of soybeans each year, funneled into biofuels and livestock feed in markets across the globe. Annual exports of these products contribute over $14 billion to the country’s economy. Following developments in yield for this particular crop is essential given its impact on soybean futures prices, soy biofuel availability, and livestock producers that depend on the country’s crop.
Methodology
We model district-level yields and aggregate those up to the national level, with district-level harvested areas as weights. The model uses the following variables:
Related Resources
Forecast for Continued Dryness Puts Argentina Soy Production at Risk
Gro’s Argentina Soy Yield Model Drops as Crop Prospects Deteriorate