Early meteorology helped farmers predict yield, transforming the agricultural industry.

 

Complaining over the weather is not new, but the science of studying the weather, and its effects on business, is fairly recent. Around [1920], economists were also starting to use statistical methods to predict yield. Although cotton’s price, as shown on the New York Cotton Exchange, fluctuated daily, a “well-known American economist” discovered that he could make the most accurate total yield predictions—more accurate than those of the government crop reports—by analyzing the average weather conditions from May to August. It was now possible to predict when the crops would have a bumper year or a poor one.

 

Tags: physicalweather and climate, food production, agribusiness, agriculture.

Source: daily.jstor.org

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