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Weather Variability and Macro-Agronomy

Weather Variability and Macro-Agronomy

A few days ago we talked about weather and Micro-Agronomy, now we are going to look at a bigger scale. 

Besides knowing how local weather affects their own yields, growers also want information that will help them optimally market their crop. For this we need to know how weather is affecting crops across the entire Corn-Belt, not just in our backyards. Is there predictive weather information that can help? Is it possible to correlate historic temperature or precipitation data with crop prices in a way that would help us know, perhaps a few weeks ahead, if crop prices are likely to go up or down? Of course we know that there are other factors besides weather that impact crop prices, such as foreign production, international demand, support prices, just to name a few. However, weather is the predominant factor affecting total US grain production which drives crop prices. So, it would therefore be of interest for us to know how seasonal weather variations might affect total corn or soybean production. Much controversy has been made of late regarding changes in the earth’s ambient surface temperature, so let’s start there. USDA yield data and weather data from the Midwest Regional Climate Center (MRCC) over the last 50 years or so have provided some insights. Here is what the data tells us.

All About Morning Farm Report

All About Morning Farm Report

Morning Farm Report is the delivery platform for our data products. We offer many different products that growers can use to make data-driven decisions. The first is Rainfall, which is field specific, real time, and can be used to make simple planning decisions based on rainfall. Did it rain too much for in general for planting?

We also offer Field Intel, which is a data science-based product. We use crop models to aggregate weather data into growth stage related bins.  Forecasts through historical data are available at an ag-field scale.